Enviar búsqueda
Cargar
IRJET- AI Based Traffic Signal Control System
•
0 recomendaciones
•
34 vistas
IRJET Journal
Seguir
https://www.irjet.net/archives/V6/i11/IRJET-V6I1126.pdf
Leer menos
Leer más
Ingeniería
Denunciar
Compartir
Denunciar
Compartir
1 de 6
Descargar ahora
Descargar para leer sin conexión
Recomendados
Vmuralidharan
Vmuralidharan
tarlesubba
Intelligent Traffic System for kajang city, Malaysia.
Intelligent Traffic System for kajang city, Malaysia.
Yousef Abujubba
IRJET- Image Processing based Intelligent Traffic Control and Monitoring ...
IRJET- Image Processing based Intelligent Traffic Control and Monitoring ...
IRJET Journal
intelligent transport systems
intelligent transport systems
Ankit Kansotia
Intelligent Traffic Light control using Embedded Systems
Intelligent Traffic Light control using Embedded Systems
Srijan Singh
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...
IJSRD
Traffic information system
Traffic information system
Presi
Intelligent transport system (its) [autosaved]
Intelligent transport system (its) [autosaved]
Krishna Bhola
Recomendados
Vmuralidharan
Vmuralidharan
tarlesubba
Intelligent Traffic System for kajang city, Malaysia.
Intelligent Traffic System for kajang city, Malaysia.
Yousef Abujubba
IRJET- Image Processing based Intelligent Traffic Control and Monitoring ...
IRJET- Image Processing based Intelligent Traffic Control and Monitoring ...
IRJET Journal
intelligent transport systems
intelligent transport systems
Ankit Kansotia
Intelligent Traffic Light control using Embedded Systems
Intelligent Traffic Light control using Embedded Systems
Srijan Singh
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...
IJSRD
Traffic information system
Traffic information system
Presi
Intelligent transport system (its) [autosaved]
Intelligent transport system (its) [autosaved]
Krishna Bhola
Intelligent transportation system
Intelligent transportation system
Naveen raj
intelligent transportation system
intelligent transportation system
Mohammed Faazil
Intelligent Transportation System
Intelligent Transportation System
guest6d72ec
Intelligent transport system
Intelligent transport system
venkatsai91
INTELLIGENT URBAN TRAFFIC CONTROL SYSTEM :ITS ARCHITECTURE
INTELLIGENT URBAN TRAFFIC CONTROL SYSTEM :ITS ARCHITECTURE
Wael Alawsey
Intelligent Transportation System
Intelligent Transportation System
D.Y.Patil College Of Engineering, Akurdi.
Advance Public Transportation System
Advance Public Transportation System
saranshshah
ADVANCED TRAVELLER INFORMATION SYSTEM
ADVANCED TRAVELLER INFORMATION SYSTEM
Ganesh S Nair
Presentation on INTELLIGENT TRANSPORT SYSTEM by jaswinder singh
Presentation on INTELLIGENT TRANSPORT SYSTEM by jaswinder singh
Jaswinder Singh
intelligent transportation system
intelligent transportation system
Abdul rahman kureshi
Intelligent transportation system
Intelligent transportation system
gayathrysatheesan1
ITS - Intelligent Transport System - An Overview
ITS - Intelligent Transport System - An Overview
Theerumalai Ga
PROPOSED INTELLIGENT TRANSPORT SYSTEM DEPLOYMENTS IN KAJANG CITY
PROPOSED INTELLIGENT TRANSPORT SYSTEM DEPLOYMENTS IN KAJANG CITY
664601
Real time information systems in Transportation
Real time information systems in Transportation
Aravind Samala
Intelligent transportation system
Intelligent transportation system
Er.BASAVARAJ Pachhapure
G041024547
G041024547
IOSR-JEN
Smart vehicle tracking using GPS
Smart vehicle tracking using GPS
IRJET Journal
Positioning improvements for Intelligent Transportation Systems (ITS)
Positioning improvements for Intelligent Transportation Systems (ITS)
Bastien Terret
INFRASTRUCTURE FOR SMART CITIES_MOD 3_Intelligent transport systems
INFRASTRUCTURE FOR SMART CITIES_MOD 3_Intelligent transport systems
Shree Swami atmanand saraswati inst. of technology, surat
IRJET - Smart Traffic Control System using RFID
IRJET - Smart Traffic Control System using RFID
IRJET Journal
IRJET- Density based Traffic Controller with Defaulter Identification using IoT
IRJET- Density based Traffic Controller with Defaulter Identification using IoT
IRJET Journal
IJSRED-V2I2P22
IJSRED-V2I2P22
IJSRED
Más contenido relacionado
La actualidad más candente
Intelligent transportation system
Intelligent transportation system
Naveen raj
intelligent transportation system
intelligent transportation system
Mohammed Faazil
Intelligent Transportation System
Intelligent Transportation System
guest6d72ec
Intelligent transport system
Intelligent transport system
venkatsai91
INTELLIGENT URBAN TRAFFIC CONTROL SYSTEM :ITS ARCHITECTURE
INTELLIGENT URBAN TRAFFIC CONTROL SYSTEM :ITS ARCHITECTURE
Wael Alawsey
Intelligent Transportation System
Intelligent Transportation System
D.Y.Patil College Of Engineering, Akurdi.
Advance Public Transportation System
Advance Public Transportation System
saranshshah
ADVANCED TRAVELLER INFORMATION SYSTEM
ADVANCED TRAVELLER INFORMATION SYSTEM
Ganesh S Nair
Presentation on INTELLIGENT TRANSPORT SYSTEM by jaswinder singh
Presentation on INTELLIGENT TRANSPORT SYSTEM by jaswinder singh
Jaswinder Singh
intelligent transportation system
intelligent transportation system
Abdul rahman kureshi
Intelligent transportation system
Intelligent transportation system
gayathrysatheesan1
ITS - Intelligent Transport System - An Overview
ITS - Intelligent Transport System - An Overview
Theerumalai Ga
PROPOSED INTELLIGENT TRANSPORT SYSTEM DEPLOYMENTS IN KAJANG CITY
PROPOSED INTELLIGENT TRANSPORT SYSTEM DEPLOYMENTS IN KAJANG CITY
664601
Real time information systems in Transportation
Real time information systems in Transportation
Aravind Samala
Intelligent transportation system
Intelligent transportation system
Er.BASAVARAJ Pachhapure
G041024547
G041024547
IOSR-JEN
Smart vehicle tracking using GPS
Smart vehicle tracking using GPS
IRJET Journal
Positioning improvements for Intelligent Transportation Systems (ITS)
Positioning improvements for Intelligent Transportation Systems (ITS)
Bastien Terret
INFRASTRUCTURE FOR SMART CITIES_MOD 3_Intelligent transport systems
INFRASTRUCTURE FOR SMART CITIES_MOD 3_Intelligent transport systems
Shree Swami atmanand saraswati inst. of technology, surat
IRJET - Smart Traffic Control System using RFID
IRJET - Smart Traffic Control System using RFID
IRJET Journal
La actualidad más candente
(20)
Intelligent transportation system
Intelligent transportation system
intelligent transportation system
intelligent transportation system
Intelligent Transportation System
Intelligent Transportation System
Intelligent transport system
Intelligent transport system
INTELLIGENT URBAN TRAFFIC CONTROL SYSTEM :ITS ARCHITECTURE
INTELLIGENT URBAN TRAFFIC CONTROL SYSTEM :ITS ARCHITECTURE
Intelligent Transportation System
Intelligent Transportation System
Advance Public Transportation System
Advance Public Transportation System
ADVANCED TRAVELLER INFORMATION SYSTEM
ADVANCED TRAVELLER INFORMATION SYSTEM
Presentation on INTELLIGENT TRANSPORT SYSTEM by jaswinder singh
Presentation on INTELLIGENT TRANSPORT SYSTEM by jaswinder singh
intelligent transportation system
intelligent transportation system
Intelligent transportation system
Intelligent transportation system
ITS - Intelligent Transport System - An Overview
ITS - Intelligent Transport System - An Overview
PROPOSED INTELLIGENT TRANSPORT SYSTEM DEPLOYMENTS IN KAJANG CITY
PROPOSED INTELLIGENT TRANSPORT SYSTEM DEPLOYMENTS IN KAJANG CITY
Real time information systems in Transportation
Real time information systems in Transportation
Intelligent transportation system
Intelligent transportation system
G041024547
G041024547
Smart vehicle tracking using GPS
Smart vehicle tracking using GPS
Positioning improvements for Intelligent Transportation Systems (ITS)
Positioning improvements for Intelligent Transportation Systems (ITS)
INFRASTRUCTURE FOR SMART CITIES_MOD 3_Intelligent transport systems
INFRASTRUCTURE FOR SMART CITIES_MOD 3_Intelligent transport systems
IRJET - Smart Traffic Control System using RFID
IRJET - Smart Traffic Control System using RFID
Similar a IRJET- AI Based Traffic Signal Control System
IRJET- Density based Traffic Controller with Defaulter Identification using IoT
IRJET- Density based Traffic Controller with Defaulter Identification using IoT
IRJET Journal
IJSRED-V2I2P22
IJSRED-V2I2P22
IJSRED
IRJET - Unmanned Traffic Signal Monitoring System
IRJET - Unmanned Traffic Signal Monitoring System
IRJET Journal
IRJET - Density based Traffic Management System
IRJET - Density based Traffic Management System
IRJET Journal
Control of Traffic Signals by AI based Image Processing
Control of Traffic Signals by AI based Image Processing
IRJET Journal
Smart Algorithm for Traffic Congestion and Control
Smart Algorithm for Traffic Congestion and Control
IRJET Journal
IRJET - Traffic Signal Automation using Spike Road Block
IRJET - Traffic Signal Automation using Spike Road Block
IRJET Journal
IRJET- Study of Automated Highway System
IRJET- Study of Automated Highway System
IRJET Journal
IRJET- Intelligent Traffic Management System
IRJET- Intelligent Traffic Management System
IRJET Journal
Smart Traffic Congestion Control System: Leveraging Machine Learning for Urba...
Smart Traffic Congestion Control System: Leveraging Machine Learning for Urba...
IRJET Journal
IRJET- Traffic Sign Board Detection and Voice Alert System Along with Spe...
IRJET- Traffic Sign Board Detection and Voice Alert System Along with Spe...
IRJET Journal
Wireless Smart Traffic Control System based on Vehicle density in Traffic Lan...
Wireless Smart Traffic Control System based on Vehicle density in Traffic Lan...
IRJET Journal
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
IRJET Journal
IRJET- Lane Detection using Neural Networks
IRJET- Lane Detection using Neural Networks
IRJET Journal
Congestion Control System Using Machine Learning
Congestion Control System Using Machine Learning
IRJET Journal
Modified Congestion Re-Routing Scheme using Centralized Road Side Unit
Modified Congestion Re-Routing Scheme using Centralized Road Side Unit
IRJET Journal
Iaetsd literature review on traffic signal control system based on
Iaetsd literature review on traffic signal control system based on
Iaetsd Iaetsd
IRJET- Time To Cross – Traffic Light Control System using Image Processing
IRJET- Time To Cross – Traffic Light Control System using Image Processing
IRJET Journal
Vehicle Traffic Analysis using CNN Algorithm
Vehicle Traffic Analysis using CNN Algorithm
IRJET Journal
Traffic Density Control and Accident Indicator Using WSN
Traffic Density Control and Accident Indicator Using WSN
IJMTST Journal
Similar a IRJET- AI Based Traffic Signal Control System
(20)
IRJET- Density based Traffic Controller with Defaulter Identification using IoT
IRJET- Density based Traffic Controller with Defaulter Identification using IoT
IJSRED-V2I2P22
IJSRED-V2I2P22
IRJET - Unmanned Traffic Signal Monitoring System
IRJET - Unmanned Traffic Signal Monitoring System
IRJET - Density based Traffic Management System
IRJET - Density based Traffic Management System
Control of Traffic Signals by AI based Image Processing
Control of Traffic Signals by AI based Image Processing
Smart Algorithm for Traffic Congestion and Control
Smart Algorithm for Traffic Congestion and Control
IRJET - Traffic Signal Automation using Spike Road Block
IRJET - Traffic Signal Automation using Spike Road Block
IRJET- Study of Automated Highway System
IRJET- Study of Automated Highway System
IRJET- Intelligent Traffic Management System
IRJET- Intelligent Traffic Management System
Smart Traffic Congestion Control System: Leveraging Machine Learning for Urba...
Smart Traffic Congestion Control System: Leveraging Machine Learning for Urba...
IRJET- Traffic Sign Board Detection and Voice Alert System Along with Spe...
IRJET- Traffic Sign Board Detection and Voice Alert System Along with Spe...
Wireless Smart Traffic Control System based on Vehicle density in Traffic Lan...
Wireless Smart Traffic Control System based on Vehicle density in Traffic Lan...
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
IRJET- Lane Detection using Neural Networks
IRJET- Lane Detection using Neural Networks
Congestion Control System Using Machine Learning
Congestion Control System Using Machine Learning
Modified Congestion Re-Routing Scheme using Centralized Road Side Unit
Modified Congestion Re-Routing Scheme using Centralized Road Side Unit
Iaetsd literature review on traffic signal control system based on
Iaetsd literature review on traffic signal control system based on
IRJET- Time To Cross – Traffic Light Control System using Image Processing
IRJET- Time To Cross – Traffic Light Control System using Image Processing
Vehicle Traffic Analysis using CNN Algorithm
Vehicle Traffic Analysis using CNN Algorithm
Traffic Density Control and Accident Indicator Using WSN
Traffic Density Control and Accident Indicator Using WSN
Más de IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
Más de IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Último
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
UNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular Conduits
rknatarajan
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Christo Ananth
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
ranjana rawat
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
slot gacor bisa pakai pulsa
University management System project report..pdf
University management System project report..pdf
Kamal Acharya
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
Asst.prof M.Gokilavani
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
upamatechverse
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
fenichawla
Java Programming :Event Handling(Types of Events)
Java Programming :Event Handling(Types of Events)
simmis5
result management system report for college project
result management system report for college project
Tonystark477637
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghly
sanyuktamishra911
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
Kamal Acharya
Glass Ceramics: Processing and Properties
Glass Ceramics: Processing and Properties
Prabhanshu Chaturvedi
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
upamatechverse
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
pranjaldaimarysona
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
ranjana rawat
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
Asutosh Ranjan
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
dharasingh5698
Último
(20)
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
UNIT-II FMM-Flow Through Circular Conduits
UNIT-II FMM-Flow Through Circular Conduits
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
University management System project report..pdf
University management System project report..pdf
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
BSides Seattle 2024 - Stopping Ethan Hunt From Taking Your Data.pptx
Java Programming :Event Handling(Types of Events)
Java Programming :Event Handling(Types of Events)
result management system report for college project
result management system report for college project
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghly
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
Glass Ceramics: Processing and Properties
Glass Ceramics: Processing and Properties
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
IRJET- AI Based Traffic Signal Control System
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 142 AI BASED TRAFFIC SIGNAL CONTROL SYSTEM Sanchal Ramteke1, Prof. B. B. Gite2 1Student, Department of Computer Engineering, Sinhgad Academy of Engineering, Savitribai Phule Pune University, Pune, Maharashtra. 2Head of Department, Department of Computer Engineering, Sinhgad Academy of Engineering, Savitribai Phule Pune University, Pune, Maharashtra. ----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The control system of the traffic light is mainly used to monitor and control the flow of vehicles through the intersection of roads. The main purpose of our system is the smooth movement of cars alongthetransportline. Integrating a system with multiple traffic lights into anexistingsystemisa complex task. The existing system does not control the flow of the vehicle to the node. There is no common abstraction between traffic light systems, vehicle deviation, high red light delay, vehicle drift, accident, emergencyvehicleandpedestrian crossing. The existing system leads to congestion. We recommend an Arduino based system with image processing for measuring traffic density. At the traffic light, an image processing system is used, in which the Arduino regulates the synchronization of the signal basedonthecountingof vehicles. Controls the next signal based on the previous display. The portable device is designed to solve urgent problems stuck on crowded roads. MATLAB is software that has a number of image processing functions. Key Words: Traffic light system, Arduino, Image processing, Camera, Vehicle counting, traffic density. 1. INTRODUCTION A traffic light system developed since 1912 to control traffic at intersections, pedestriancrossingsandotherareas.Traffic jams are increasing day by day, so we have to face many problems. Due to the large volume of vehicles, the lack of infrastructure and distribution systems is the main cause of traffic congestion. Traffic lights are red, blue and green. The green light signal is used in the indicated direction; the yellow light signal is used to warn cars of a short stop and a red light prohibiting movement. These days, many nations suffer the ill effects of the traffic congestion issues that influencethetransportationsystemin urban communities and cause genuine difficulty. Despite supplanting traffic officers and flagmen via programmed traffic frameworks, the advancement of the overwhelming congested driving conditions is as yet a noteworthy issue to be confronted, particularly with different intersection hubs. The quick increment in the number of autos and the always rising number of street clients are not joined by advanced frameworks with adequate assets. Halfway arrangements were offered by developing new streets, executing flyovers and sidestep streets, making rings, and performing streets restoration. The traffic issue is extremely muddled because of the contribution of assorted parameters. In the first place, the traffic flow depends upon the time where the traffic top hours are for the most part early in the day and toward the evening; on the times of the week where ends of the week uncover least load while Mondays and Fridays by and large show thick traffic arranged from urbancommunities totheir edges and in turn around bearing individually; and time as occasions and summer. Also, the current traffic light system is executed with hard-coded defers where the lights change schedule slots are settled routinely and don't rely upon continuous traffic flow. The third point is worried about the condition of one light at a crossing point that impacts the stream of movement at neighboring convergences. Additionally, the traditional traffic system does not think about the situation of mischance, road works, and breakdown vehicle that compound movement blockage. Furthermore, a pivotal issue is identified with the smooth movement through crossing points of crisis (Emergency) vehicles of higher needs, for example, ambulances, rescue vehicles, fire brigade, police, and VIP people that could stall out in the crowd. At long last, the walkers (pedestrians) that cross the paths also modify the traffic system. The traffic light system should be moved up to fathom or upgraded the extreme traffic congestion, mitigate transportation inconveniences, diminish traffic volume and holding up time, limit by and large travel time, advance vehicles security and effectiveness,andgrowtheadvantages in health, economic, and natural segments. This paper proposes a simple, minimal effort, and constant savvytraffic light system that means to defeat numerous deformitiesand enhance traffic administration. The system depends on Arduino microcontroller and PC camera, which uses for continuous capturing the vehicle images on roads and perform the action to solve the congestion problem intraffic light system. 2. LITERATURE SURVEY [1] Introduces a two-stage processing method: vehicle detection and vehicle detection. First, a machine learning algorithm based on functions similar to those of the Haar and Ada-Boost algorithms is used to train the classifier to detect vehicles in the input image, which allows recognition of the image of interest (ROI). Then additional training is carried out using the basic component analyzertolearnhow to recognize the different types of vehicle samples. Density based traffic signal system.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 143 [2] Traffic control at a roundabout. It discusses the differences between system setup and vehicle recognition, tracking and routing systems and all technologies based on driving vision in a car. Recently, all directional cameras and parameters set by man are used in roadside systems, but they are faced with automation problems. Technologically integrated vehicles use light detection and ranging systems, as well as radar and stereo systems, which is a continuous overview. In the recent side system literature, vehicle tracking is primarily based on a rare feature combined with the Canada-Lukas-Tomasi settlement algorithm.Inaddition, relocation, modeling and prior knowledge are necessary for the exact location of the site and the correct classification of participants. When used in vehicles, the first goal is to precede or close the vehicle. Traffic signsaremainlyused for various adaptations of the optical data stream. When a vehicle is detected, it is usually followedbygeneral Bayesian algorithms, especially Kalman and particle filters. The latter optimized optical catadioptics and arc optics for the entire controlled vision is used. [3] The main idea of the proposed system is the effective use of observation systems usingimage processingmethods. The step of the intellectual surveillance system is video. To record, extract frames from a video input, apply a Gaussian blur using Gaussian blur, use a blur, also called Gaussian smoothing. This is a Gaussian matrix calculation that is smooth or blurry to reduce image noise. After applying the Gauss function, the system is divided into two parts: recognition of abandoned objects and recognition of a person. When detecting abandoned objects, suspicious objects are recognized by extracting the background, determining thresholds and clots. When human spots are detected, red blue green transforms into light and color measurements and thresholds. The mainandonly drawback of this system is the need to update the background when changing the background. [4] Implements an intelligent flowcontrol systemthatallows you to move ambulances. Each vehicle has a special RFIDtag (located in a strategic location) that prevents removal or destruction. RFID readers, NSK EDK-125-TTL and PIC16F877A systems are used to read RFID tags attached to a vehicle. It calculates the number of vehiclestravelingalong a given route for a specific period of time. It also determines the network load and thus adjusts the green light time. Automatic check of routes based on traffic density, allowed the police effortlessly and reduced their overhead. Since the entire system is automated, it requires much less human intervention. [5] Implements RFID (Radio Frequency Identification) and Record Identification (NPR) systems for vehicle identification and control. License PlateIdentification(NPR) is a truly embedded system that often recognizes a vehicle's license plate. Intersection systems are used only to identify the vehicle. The license plate (NPR) and control system are identified by a combination of image processing and RFID and are used to identify and authenticate the vehicle. Smart traffic system control and traffic avoidance system during emergencies using Arduino and ZigBee 802.15.4isused.The selected text is then used for authentication, and the RFID information is used for verification. Image recognition methods, such as image capture, binary transformation, segmentation, pattern generation, and matching,areused to identify and control the vehicle. The work ofbothmodulesis parallel. The challenge is to recognize the characters. [6] Demonstrates machine aggregation of vehicle characteristics (traffic) to control a system widely used to prevent identification of a vehicle, ambulance and hijacked vehicle. Each vehicle has a radio frequency identifier(RFID), which identifies the signal of the vehicle aggregation (traffic). The RFID reader expects vehicles to move along a given route for a certain period of time. Depending on the number of vehicles, if the vehicles (movement) are detected by an infrared sensor, the green light comes on and the vehicles spread evenly. If the RFID reader reads the stolen vehicle, a police message is immediately sent to the control room using the mobile subscriber module 300. Inaddition,if the hospital car passes through ZigBee and Atmega328, as indicated by the vehicle (traffic), the message will be redirected to the vehicle's resources (traffic) so that the controller turns green. The microcurrent Atmega328 is directly connected to the individual vascular components and acts as a central point. [7] It presents three main objectives and notes the speed of the vehicle, marking them with paint and creating an economical and simple system. In this case, the ultrasonic sensor detects temporary vehicles and sends data to the Arduino. He then examines the Arduino and responds through a relay mechanism to a gun equipped with a solenoid valve. Arduino provides programmed more accurate results. It also states that the prototype system can effectively detect and signal rapid acceleration. The result shows that this innovative technology improves the reliability of the road safety system. By performing these functions in real time, you can avoid accidents up to 70%. [8] Represents a system that identifies a unique RFID tag for each vehicle, and each vehicle's identificationdata isentered into the police database. The RFID reader reads the tag values, and this value is provided by the Raspberry Pi processor. RFID can be provided to hijack a carbyselectinga browser that serves to enter the Raspberry Pi. Raspberry Pi compares the details of already saved RFID tags with dynamic tags. When they match, they take a snapshot of the vehicle and send it to a specific mailbox. The camera is connected to the Raspberry Pi processor. The Raspberry Pi processor saves image data on an SD card(harddisk).Ituses the Internet of Things and RFID, which connect various smart devices that provide security when stealing a car.
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 144 3. EXISTING SYSTEM The traffic lights system utilized in India are essentially pre- planned wherein the season of every path to have a green signal or light is settled. In a four-path traffic signal,onepath is given a green signal at any given moment. Along these lines, the traffic light enables the vehicles of all paths to goin a grouping. In this way, the activity can progress either straight way or turn by 90 degrees. So regardless ofwhether the activity thickness in a specific path is the minimum, it needs to sit tight superfluously for quite a while and when it gets the green flag it pointlessly makes different paths sit tight for significantly longer lengths. Numerous techniques had me acquainted with take care of the issue of activity utilizing sensor and fluffy rationale strategies, but the issue constant illuminating the issues is still tested.Thisissues can overcome by utilizingDigital Signal ProcessingTechniquei.e. image Processing. 4. PROPOSED SYSTEM Fig -1: System Block Diagram The functions of the various components are given below: USB Camera: USB Camera captures the image and sends it to the USB port of the Arduino Uno board.Thecamera model used here is USB Camera model 5.0. Arduino: Arduino is an open source platform used to Design electronics. Arduino embodies a physical board (often called a microcontroller) that is programmable and a piece of software or integrated development environment (IDE) used on computer to write and download computer code on a physical board. RFID Reader: An RFID reader (RFID Reader) is a device used to collect information from an RFID tag used to track individual objects. Radio waves are used to transmit data from the tag to the reader. RFID Tag: An RFID tag is an electronic tag that communicates with an RFID reader via radio waves. Thingspeak Application: Sending notification with embedded system was a problem with few solutions, widespread was SMS but other side there are some issues of extra payment, limited number of data, etc. Thingspeak provide push notification from cloud after gettingregistered on thingspeak website. In this system, the image is captured via USB camera, and programming is performed in the Embedded C language and Arduino IntegratedDevelopment Language. Whenever an RFID sensor detects a signal, it sends a positive signal to the Arduino. The RFID recognizes the signal and sends the output signal to the USB camera to capture the image. Block diagram for traffic light system for the real time traffic management system which overcome the drawback of previous standard methods. The vehicle is detected by the framework using image insteadofsensor.Acamera isplaced apace with the traffic light. It takes the image or capturesthe image. To control the change of traffic lights, technique of image processing is used. Through this amazing technique, the traffic will decrease and abstain from the amountoftime being deteriorated by green light signal on the vacant road. In proposed system emergency vehicle is detect on any rout that time system send the signal to controller to clear that road or traffic i.e., green signal is gives to that road. This system is also more efficient and reliable in assessing the presence of vehicles on the road, since it uses a system of actual traffic density. Hence with the additional of these techniques proposed system is more effective that existing system. 5. METHODOLOGY: 5.1 Image acquisition In general, an image (image) is a two-dimensional function f (x, y) (here x and y are flat coordinates). In addition, it is also called gray level image (s). These x and y values need to be changed to limited discrete properties to create a digital image. The input image is a database from a stunning database and drive database.Animageofthe retina is made to prepare and monitor the condition of the person. For processing on a PC, the analog image must be converted to a digital image. All extended images made from limited components and each limited component are called pixels. 5.2 Image cropping The second step is to select a focused area,structuring the cut calculations in MATLAB. The motivations for editing is to recognize the street (path) wheretherearevehiclesand prevent meaningless source data. This meaningless data is located in each frame of captured images. 5.3 Image matching Recognition procedures depend on the compliance of the sample vector of the sample correspondingto eachclass. An indefinite example refers to a class that is closest to a predefined metric. The least complex methodology is the
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 145 main classifier-separator, which, as its name implies, excludes computers (Euclidean) between the blurry and all model vectors. You choose the shortest distance for your choice. There is another relationship-dependent methodology that can be directly identified with imagesand is very instinctive. 5.4 Image scaling Image scaling occurs in all computerized photos at some stage, regardless of whether it is in the Bayes demo tape or in the design of photos. This happens whenever you change the image size from one pixel to another. Image resizing is fundamental when you need toincreaseordecreasethetotal number of pixels. Regardless of whether a similarimagesize is reproduced, the result may vary significantly, relying on the calculation. 5.5 Image enhancement Image enhancement is a way to modify advancedimages to make the results more suitable for exposure or further study. For example, we can reject noise,whichwill makeless demanding recognition of key qualities. On bad images of differentiation, nearby characters melt in the midst of a binarization and it is necessary to reduce the scatter of characters on which previously imposed restrictions on the word "picture". 5.6 Color detection The idea of defining color, as the name itselfrecommends, is part of image processing, which involves the separation between elements depending on their color. If wework with an image of different colors and we need to process only certain colors, at this point the color matching strategies essentially return a parallel image, where only the bits with the important color are white and the output color is black. This reduces the image data only to raster images, which makes them less demanding forprocessingforvarioustasks. 5.7 Blob detection Blob detection methods have dematerialized to discern areas in a digital image that differ in properties, such as luminosity or color, in contrast to the concealing areas. There is a certain range, which shows thattheprotest will be additionally checked if it exists in the range, or will be considered a pictorial image and pass through it. 5.8 Object counting To read the elements in the picture, the nearby bordersof the articles are different. The outer boundaries of the object, in addition, the open borders within these products in a parallel image are classified to distinguish between vehicles that are available in a focused area. 5.9 Traffic density The next step is to calculate the mass of the car on the road in the target zone. The signal is triggered by traffic jams. The system changes the signal when there is a large amount of car on the tape. The system captures images from the tape and makes a decision to change the traffic signal depending on the traffic density on the tape or path. 5.10 Background Subtraction Background subtraction is a widely used approach for detecting moving object video fromstill cameras.Thereason for this approach is to detectmovingobjectsofthedifference between the current frame and the reference frame, often referred to as the background image or background model. 5.11 Support Vector Machine In SVM algorithm, find the points closest to the lines of both classes, which are called supportvectors.Nowcalculate the distance between the line and the support vectors. This calculated distance is the margin. Main aim is to maximize the difference. The optimal hyper plane is the one in which this margin is maximum. SVM is thereforetryingto make the decision boundary so that the distance between the two classes is outspread. 6. WORKING MODULE 1. Arduino UNO, which controls the camera to capture all or part of the image strip, is used. Recorded images will be sent to MATLAB for processing. 2. MATLAB stops image processing, and the priority of each band is to determine traffic density. Traffic density must be determined for each IN road section. 3. A line or path with a higher traffic density receives a first priority, and a path with a lower traffic density is the lowest priority. 4. The road is selected in order of decreasing priorities. 5. The time of each signal depends on the OUT bands or traffic density in descending order. 6. When all the lane or route has giventhegreensignal based on their priority the traffic system complete its one cycle. This process will be repeats and time for all signals will be given on the basis on traffic density.
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 146 7. PROPOSED ALGORITHM Fig -2: Traffic Signal System Algorithm 8. MATHEMATICAL MODEL 1. Input VehicleCount I = {i1, i2, i3, ...in| Where I is the vehicle count’ } i1,i2, i3,.in are the words of string. 2. Identify count onsignal S = {s1, s2, s3, ...sn | Where, S is the main set of counts.’ } 3. Identify features F = {f1, f2, f3, fn | Where, F is main set of features(Emergency vehicle /NormalVehicle’ } 4. Identify Classification C = {c1, c2, c3, fn | Where, F is main set of emergency vehicle Classification depend on signal’ } Classification of Emergency or Normal vehicle If f1∈ Σ c1,c2….cn C f1 . . If fn ∈ Σ c1,c2….cn C fn Where f1,f2 = extracted feature C= classification group Calculating Time Pi=fi/Fx Where Pi=polarity of vehicle fi=feature of vehicle(emergency/normal vehicle) Fx=total number of features 9. RESULTS Table -1: Signal Processing Initially, all signals at a particular junction will turn yellow and as the traffic increases the signal will startturninggreen in sequence. The normal flow of traffic shows that signal 1 will turn green first, and then signal 2 followed by signal 3 and at last signal 4. The order of the traffic lights began as a green light that lights up at traffic signal 1, and the red light of other traffic lights. Each vehicle has been given 2 seconds time to pass through the particular signal. The duration of this mode lasted a few seconds and it dependsonthecamera image capture. Then the sequence turned on the green light of traffic light 2 and the red light of other traffic lights for few seconds. The same thing happened with traffic light 3 and traffic light 4 after the yellow lights of each traffic light turned on fora few seconds. The microcontroller constantly repeats this light,if the emergency order is not activated. Chart -1: Vehicle Priority, Emergency and Count Results In the graph above, there are three sectors available according to the number of vehicles. In the above pictorial representation, the maximum number of vehicles is six and minimum number of vehicles is zero. Zero to six numbers also represents the count of vehicles and 0-2 represents low priority, 2-4 represents medium priority and 4-6 represents high priority. So at signal 1, the count of vehicles is 2, at signal 2, count of vehicles are 6 and at signal 3, the count of vehicles is 3. In this case, signal 2 has maximum number of vehicles so there is traffic congestion and so the signal for signal 2 will turn green and all other signals will turn red. Also, signal 4 is considered a road with no vehicles,ifthereis more traffic then vehicles will go through that signal or path to make way for emergency vehicle and after that it comes
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 11 | Nov 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 147 back to normal. RFID is used to detect vehicle and keep a record of the passing vehicle. 10. CONCLUSION This paper presents a strategy for evaluating traffic systems using image processing. This is eliminated when using images taken from a carriage or tape, and recorded images are moved into a series of images. Each picture is prepared independently and the number of the vehicle is collected. If there is no chance that the number of vehicles will exceed the established limit, a notice ofsignificantmovementwill be indicated automatically. In the proposed system, the key feature is ambulance priority. The advantages of this new method include such advantages as the use of image preparation in comparison withsensors,simplicity, andease of setup and, as a rule, high accuracy, low price and speed. Since this method is implemented using MATLAB image processing and programming, the cost of production is low, with high speed and better performance for accuracy. REFERENCES [1] Yong Tang & Congzhe Zhang & Renshu Gu & Peng Li & Bin Yang, “Vehicle detection and recognition for intelligenttrafficsurveillancesystem,”SpringerScience+ Business Media New York 2015. [2] Sokèmi René Emmanuel Datondji, Yohan Dupuis, Peggy Subirats, and Pascal Vasseur, “A Survey of Vision-Based Traffic Monitoring of Road Intersections,” in IEEE transactionsonintelligenttransportationsystems,2016. [3] Kitae Kim, Slobodan Gutesa, Branislav Dimitrijevic, Joyoung Lee, Lazar Spasovic, Wasif Mirza and Jeevanjot Singh, “Performance Evaluation of Video Analytics for Traffic Incident Detection and Vehicle Counts Collection,” Springer International Publishing AG,2017. [4] S. Sarkar and C. Parnin, “Characterizing and predicting mental fatigue during programming tasks,” in Proceedings of the 2nd International Workshop on Emotion Awareness in Software Engineering. IEEE Press, 2017. [5] Rajeshwari Sundar, Santhoshs Hebbar, and Varaprasad Golla, “Implementing Intelligent Traffic Control System for Congestion Control, Ambulance Clearance, and Stolen VehicleDetection,”IEEESENSORSJOURNAL,VOL. 15, NO. 2, FEBRUARY 2015. [6] Aqib Mehmood, Mumtaz Ali, Rameez Ahmad, Sayed Irfan, Habib ur Rahman, “Identification and verification of vehicle using rfid technique,” VAWKUM Transactions on Computer Sciences, 2016. [7] Sivakumar.R, Vignesh.G, Vishal Narayanan, Prakash.S, Sivakumar. V, “Automated Traffic Light Control System and Stolen Vehicle Detection,” IEEE International Conference on Recent Trends inElectronicsInformation Communication Technology, 2016. [8] Vasanth B, Sreenivasan S, Mathanesh V.R, “Over Speed Vehicle Marking System Using Arduino UNO Controlled Air Cannon,” International Journal of Engineering Technology Science and Research, September 2017. [9] P. Devika, V.Prashanthi, G.Vijay Kanth, J Thirupathi, “RFID Based Theft Detection and Vehicle Monitoring System using Cloud,” International Journal ofInnovative Technology and Exploring Engineering (IJITEE), February 2019. [10] Elizabeth Basil, Prof. S. D. Sawant, “IoT based Traffic Light Control System using RaspberryPi”Departmentof Electronics and Telecommunication NBNSSCOE, IEEE 2017. [11] Madhavi Arora, V. K. Banga, “Real Time Traffic Light Control System”, 2nd International Conference on Electrical, Electronics and Civil Engineering (ICEECE'2012), pp. 172-176, Singapore, April 28-29, 2012. [12] Vikramaditya Dangi, Amol Parab, Kshitij Pawar & S.S Rathod, “Image Processing Based Intelligent Traffic Controller”, Undergraduate Academic Research Journal (UARJ), Vol.1, Issue 1, 2012. [13] Bilal Ghazal,KhaledElKhatib,KhaledChahine,Mohamad Kherfan “Smart TrafficLight Control System”2016IEEE. [14] Intelligent Traffic Light Control System using Image Processing, Fr. C Rodrigues Institute of Technology, Vashi. [15] http://www.slideshare.net/louiseantonio58/image- processing-based-intelligent-traffic-control- systemmatlab-gui.
Descargar ahora