SlideShare una empresa de Scribd logo
1 de 4
Descargar para leer sin conexión
Melvin F. et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.575-578
www.ijera.com 575 | P a g e
Automatic Traffic Information System Without Gps
Melvin F. And P. Muthu Subramanian
Abstract: In a densely populated country like India, traffic and accidents are major problems. To overcome
this, the government has to enlarge roads and introduce many infrastructures to reduce the traffic problems, but
it’s not possible make infrastructural renovations in every requisite place. In order to reduce the traffic and road
accidents this project introduces a TRANSCEIVER which is more or less like radar and it also uses a
DIRECTION SENSOR – (like “cherry SD1012”). Each vehicle has these two modules and each vehicle
transmits and receives the signals of the vehicles around the range of the transceiver (say 500m). With the
reception of these signals from the vehicles around the specified range the traffic density can be found and we
can prompt the user to take a different route or to slow down their speed using software programs from the
received data. In order to know the vehicles that are going in the direction of the user, a direction sensor is used.
If N number of vehicles are going in a direction (say north), then the TRANSCEIVER will filter the other
signals and it will receive signals only from vehicles which are heading in the same direction, so the number of
signals received is directly proportional to the traffic density, there by using algorithms we can instruct the user
to either slow down or take detour. Using this same principle, by receiving the data from the upcoming traffic
signal, we can also know the status of the signal and using algorithms we can instruct the user to either slow
down or speed up, in this case traffic signals from a junction are given directions (north, south, east and west) so
only the information of the traffic signal which matches the direction of the users’ vehicle will be received and
other signals can be attenuated. Thus the DIRECTION and TRANSRECIEVER module together helps to know
the locations of vehicles. Once these modules implemented in all vehicles this project finds various applications
in ambulance path clearance, traffic police department surveillance, public transports, accident location etc.
Keywords—Traffic reduction, Automation, Speed ontrol, Transciever, traffic surveillance
I. Introduction
In this busy world we spend major part of our
utility time in transportation, due to the great increase
in the traffic density our travel time has increased
although our vehicle speeds have increased. Huge
amount of fuel is being wasted every day due to
inefficient distribution of traffic on roads. To avoid all
this we can distribute the huge amount of traffic in
alternate roads. For this we should know the traffic
information ahead us. This system helps in retrieving
the traffic information without the help of Global
Positioning System (GPS). This system works with
two main modules the direction sensor and
transceiver. This system works in low power hence it
can work with the power of the vehicle’s battery. This
system finds a lot of applications like ambulance path
clearance, traffic police department surveillance,
public transports, accident location etc.
This unit is user interactive, where a
Graphical User Interface (GUI) is present and the user
can interact with the system. The display is used to
specify the traffic density information and also allows
the user to show the alternate paths available. This unit
also helps in alarming the civilians about the path of
the ambulance and alerts them to give way for them.
This unit also helps in giving information about the
traffic signals and their timings. So in this paper we are
to discuss the overall system design, working and the
pros and cons of this system.
II. System Design
The overall system design can be explained in
three parts
1. Vehicle mount
2. Traffic Signal mount
3. Speed trap
i. Vehicle mount
The design of the vehicle mount can be
explained with the block diagram in Fig 1.
A. Direction sensor
The direction sensor is one of the primary
module of this system where it specifies the present
direction of the vehicle, this information is used by the
processor to filter the vehicles which are on the way of
the particular user.
B. Vehicle Details
Each vehicle has it own features like speed,
size, registration number etc. all this detials of the
locomotive is sent to the processor so that it can send
those details through the transreceiver
C. Direction sensor
The direction sensor is one of the primary
module of this system where it specifies the present
direction of the vehicle, this information is used by the
processor to filter the vehicles which are on the way of
the particular user.
RESEARCH ARTICLE OPEN ACCESS
Melvin F. et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.575-578
www.ijera.com 576 | P a g e
Fig 1. : The design of this vehicle mount is shown in
the block diagram
D. Vehicle Details
Each vehicle has it own features like speed,
size, registration number etc. all this detials of the
locomotive is sent to the processor so that it can send
those details through the transreceiver
E. Transceiver
The transrecevier which is the most important
component, it sends and receives signals to proximity
vehicles. The signals are generated by the
microprocessor ,they include the direction details and
the vehicle details. The transreceiver module can be
zigbee, RFID modules etc. . Theirmust be above 1
kilometers..
F. Microprocessor
Microprocessor process all the data from
direction sensors and the vehicle details to the
transreveiver it also process the data received from the
proximity vehicles and displays the results in the touch
display.
G. Display
It displays the results generated by the
microprocessor it also receives the input from the user.
ii. Traffic Signal mount
The design of the traffic signal mount can be
explained with the block diagram in Fig 2..
A. Direction detail
Each junction of the road has four signals,
here we are going to assign each signal with directions
so the signal detail will be always transmitted.
B. Signal timing
Each signal has its own time gap between
green and red and that timing is sent to microprocessor
and sent to the transceiver and then to vehicles coming
in that direction.
The working of the transceiver and
microprocessor is discussed in the earlier segments.
Fig 2. : The design of this traffic signal mount is shown
in the block diagram
iii. Speed trap
The design of the vehicle mount can be
explained with the block diagram Fig 3.
Two of this unit must placed at a distance of
500m to 1000m when the vehicle passes the first unit it
receives the signal of the vehicle and notes the time it
crosses and the next unit which is placed at a distance
also receives the signals and time of crossing with the
help of the elapsed time we can know the speed of the
Melvin F. et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.575-578
www.ijera.com 577 | P a g e
vehicle. The working of the transceiver and
microprocessor is discussed early
Fig 3. : The design of this speed trap is shown in the
block diagram results sent to database
III. Working
The working of the unit can be explained with
the above block diagrams each vehicle will have the
vehicle mount on it .It can be powered by the vehicle
itself. The direction sensor present in this unit detects
the direction of the vehicle heading and sent to the
processor and the vehicle details is sent to the
processor along with direction details. Now the
processor sends to the proximity vehicles with the help
of transceiver. The other vehicles heading to the same
direction in the road receives the signal of these
vehicles, so thereby number signals received by a
vehicle is directly proportional to the traffic density of
that place. All the details received is processed by the
microprocessor and with back running algorithms the
results are displayed in the screen present in the unit
and now the driver can take decisions of his route and
speed thereby reducing the fuel wastage and his time.
The signal mount which is present on the
signals always sends data to the vehicles about the time
gap between green and red signal so and these signals
received by the vehicles in that place they can slow
down or speed up their car thereby saving time and
fuel, also the signal mount receives the signals of the
vehicle present in that particular road and with the
algorithms it can carry the duration of green signals
according to the number vehicles in that road.
The speed trap mechanism has two units,
placed at a distance of 500m or 1000m when the
vehicle passes the first unit it receives the signal of the
vehicle and notes the time it crosses and the next unit
which is placed at a distance also receives the signals
and time of crossing with the help of the elapsed time
we can know the speed of the vehicle and thereby it
will be useful for the traffic police department.
Ambulances while travelling to the hospitals
with the victim in it, it has it reach the hospital as fast
as possible so the traffic must be cleared , by giving
unique identity to the ambulances we can design the
vehicle mount microprocessor of the ambulance to
give alarms to the vehicles in front of them.
IV. Applications
 Traffic density information.
 Ambulance path clearance.
 Signal trespassing prevention.
 Speed trapping.
 Public transport timings information.
 Accident location detection and tracking the
vehicle.
 Vehicle theft prevention.
V. Advantage and Disadvantage
Advantages:
 It does not need gps and satellites.
 Cost is low.
 Implementation in vehicle is easy and it’s
small in size.
 It has wide variety of application in all fields
of transportation.
 It can be used for both two wheelers and multi
axle vehicles.
 Reduces the wastage of fuel and saves travel
time.
 It provides all information mentioned above
for free.
Disadvantages:
The range and number of channels of trans-
receiver is now limited and the implementation in all
vehicles will be mammoth project in terms of
production.
VI. Conclusion
In this paper we have proposed our ideas of
this system and in future with upcoming inventions in
communication field this would be very easy to
implement. In our forth coming papers we would like
to publish our results of this project.
Melvin F. et al. Int. Journal of Engineering Research and Application www.ijera.com
Vol. 3, Issue 5, Sep-Oct 2013, pp.575-578
www.ijera.com 578 | P a g e
Acknowledgment
We heartily convey our gratitude for helping
to develop this project to our Head of the Department
Mrs. Dr. A. Rajeswari and Prof. Smt.M.Poongothai
and to our friend Pranesh R. of Coimbatore institute
of Technology ,Coimbatore., and to our family and
friends for supporting us to do this project.
References
[1] “ZigBee Wireless Networks and
Transceivers” By Shahin Farahani
[2] Tung, H.; Tsang, K.; Chui, K.; Tung, H.; Chi,
H.; Hancke, G.; Man, K., "The Generic
Design of a High Traffic Advance Metering
Infrastructure Using ZigBee," Industrial
Informatics, IEEE Transactions on , vol.PP,
no.99,pp.1,1,0doi: 10.1109/TII.2013.2280084
[3] Aisha Al-Abdallah, A.; Asma Al-Emadi, A.;
Mona Al-Ansari, M.; Nassma Mohandes, N.;
Malluhi, Q., "Real-time traffic surveillance
using ZigBee," Computer Design and
Applications (ICCDA), 2010 International
Conference on , vol.1, no., pp.V1-550,V1-
554,25-27June2010doi :
10.1109/ICCDA.2010.5540694
[4] Wei Shen; Wynter, L., "Real-time road traffic
fusion and prediction with GPS and fixed-
sensor data," Information Fusion (FUSION),
2012 15th International Conference on , vol.,
no., pp.1468,1475, 9-12 July 2012
[5] Mittal, A.K.; Bhandari, D., "A novel approach
to implement green wave system and
detection of stolen vehicles," Advance
Computing Conference (IACC), 2013 IEEE
3rd International , vol., no., pp.1055,1059,22-
23Feb.2013 doi:
10.1109/IAdCC.2013.6514372
[6] Introduction to Modern Traffic Flow Theory
and Control: The Long Road to By Boris S.
Kerner
[7] Building Wireless Sensor Networks: with
ZigBee, XBee, Arduino, and Processing By
Robert Faludi
[8] MSP430 Microcontroller Basics By John H.
Davies
[9] RF Transceiver Design for MIMO Wireless
Communications By Abbas Mohammadi,
Fadhel M. Ghannouchi
Authors
P. Muthu Subramanian Asst.proffesor at
Coimbatore Institute of Technology, ECE dept. pursed
B.Tech ECE at Pondicherry University and M.E
Embedded System Technologies at Anna Univetsity
campus, Anna University Coimbatore. He is now
pursuing Ph.d in Embedded Security.
Email ID:muthuspv@gmail.com
Melvin F. is pursuing B.E in Electronics and
Communication Engineering in Coimbatore Institute of
technology,Coimbatore-14.
Email ID: melvinthecoolguy@gmail.com
Ph:+91-95665-81840.

Más contenido relacionado

La actualidad más candente

Traffic Congestion Prediction using Deep Reinforcement Learning in Vehicular ...
Traffic Congestion Prediction using Deep Reinforcement Learning in Vehicular ...Traffic Congestion Prediction using Deep Reinforcement Learning in Vehicular ...
Traffic Congestion Prediction using Deep Reinforcement Learning in Vehicular ...IJCNCJournal
 
Real-Time Bus Tracking System
Real-Time Bus Tracking SystemReal-Time Bus Tracking System
Real-Time Bus Tracking SystemIRJET Journal
 
Intelligent Collision avoidance and monitoring system for railway using wirel...
Intelligent Collision avoidance and monitoring system for railway using wirel...Intelligent Collision avoidance and monitoring system for railway using wirel...
Intelligent Collision avoidance and monitoring system for railway using wirel...Editor IJMTER
 
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...IJSRD
 
How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Partici...
How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Partici...How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Partici...
How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Partici...WMLab,NCU
 
Intelligent transport system
Intelligent transport systemIntelligent transport system
Intelligent transport systemvenkatsai91
 
(Paper) A Method for Pedestrian Position Estimation using Inter-Vehicle Comm...
 (Paper) A Method for Pedestrian Position Estimation using Inter-Vehicle Comm... (Paper) A Method for Pedestrian Position Estimation using Inter-Vehicle Comm...
(Paper) A Method for Pedestrian Position Estimation using Inter-Vehicle Comm...Naoki Shibata
 
India railway and green infra smart move 2018
India railway and green infra smart move 2018India railway and green infra smart move 2018
India railway and green infra smart move 2018Mahesh Chandra Manav
 
IRJET- Congestion Reducing System through Sensors, Image Processors and Vanet...
IRJET- Congestion Reducing System through Sensors, Image Processors and Vanet...IRJET- Congestion Reducing System through Sensors, Image Processors and Vanet...
IRJET- Congestion Reducing System through Sensors, Image Processors and Vanet...IRJET Journal
 
South Yorkshire Intelligent Transport System
South Yorkshire Intelligent Transport SystemSouth Yorkshire Intelligent Transport System
South Yorkshire Intelligent Transport SystemTim Rivett
 
Predicting bus arrival time based on participatory mobile phone sensing
Predicting bus arrival time based on participatory mobile phone sensingPredicting bus arrival time based on participatory mobile phone sensing
Predicting bus arrival time based on participatory mobile phone sensingSreeraj Puzhakkattiri
 
Sensor based System for Computation of Speed, Momentum of Vehicle, Traffic De...
Sensor based System for Computation of Speed, Momentum of Vehicle, Traffic De...Sensor based System for Computation of Speed, Momentum of Vehicle, Traffic De...
Sensor based System for Computation of Speed, Momentum of Vehicle, Traffic De...iosrjce
 
Simulation of BART Station at Embarcadero, SFO using Arena
Simulation of BART Station at Embarcadero, SFO using ArenaSimulation of BART Station at Embarcadero, SFO using Arena
Simulation of BART Station at Embarcadero, SFO using ArenaPreethi Jayaram Jayaraman
 
ITS - Intelligent Transport System - An Overview
ITS - Intelligent Transport System - An OverviewITS - Intelligent Transport System - An Overview
ITS - Intelligent Transport System - An OverviewTheerumalai Ga
 

La actualidad más candente (20)

TRAFI
TRAFITRAFI
TRAFI
 
Traffic Congestion Prediction using Deep Reinforcement Learning in Vehicular ...
Traffic Congestion Prediction using Deep Reinforcement Learning in Vehicular ...Traffic Congestion Prediction using Deep Reinforcement Learning in Vehicular ...
Traffic Congestion Prediction using Deep Reinforcement Learning in Vehicular ...
 
Real-Time Bus Tracking System
Real-Time Bus Tracking SystemReal-Time Bus Tracking System
Real-Time Bus Tracking System
 
Intelligent Collision avoidance and monitoring system for railway using wirel...
Intelligent Collision avoidance and monitoring system for railway using wirel...Intelligent Collision avoidance and monitoring system for railway using wirel...
Intelligent Collision avoidance and monitoring system for railway using wirel...
 
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...
 
Dbms presentation!!
Dbms presentation!!Dbms presentation!!
Dbms presentation!!
 
How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Partici...
How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Partici...How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Partici...
How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Partici...
 
Ticket confirmation
Ticket confirmationTicket confirmation
Ticket confirmation
 
B04401014016
B04401014016B04401014016
B04401014016
 
ITS in Intermediate Public Transport and Safety
ITS in Intermediate Public Transport and SafetyITS in Intermediate Public Transport and Safety
ITS in Intermediate Public Transport and Safety
 
Intelligent transport system
Intelligent transport systemIntelligent transport system
Intelligent transport system
 
(Paper) A Method for Pedestrian Position Estimation using Inter-Vehicle Comm...
 (Paper) A Method for Pedestrian Position Estimation using Inter-Vehicle Comm... (Paper) A Method for Pedestrian Position Estimation using Inter-Vehicle Comm...
(Paper) A Method for Pedestrian Position Estimation using Inter-Vehicle Comm...
 
BMTC Intelligent Transport System
BMTC Intelligent Transport SystemBMTC Intelligent Transport System
BMTC Intelligent Transport System
 
India railway and green infra smart move 2018
India railway and green infra smart move 2018India railway and green infra smart move 2018
India railway and green infra smart move 2018
 
IRJET- Congestion Reducing System through Sensors, Image Processors and Vanet...
IRJET- Congestion Reducing System through Sensors, Image Processors and Vanet...IRJET- Congestion Reducing System through Sensors, Image Processors and Vanet...
IRJET- Congestion Reducing System through Sensors, Image Processors and Vanet...
 
South Yorkshire Intelligent Transport System
South Yorkshire Intelligent Transport SystemSouth Yorkshire Intelligent Transport System
South Yorkshire Intelligent Transport System
 
Predicting bus arrival time based on participatory mobile phone sensing
Predicting bus arrival time based on participatory mobile phone sensingPredicting bus arrival time based on participatory mobile phone sensing
Predicting bus arrival time based on participatory mobile phone sensing
 
Sensor based System for Computation of Speed, Momentum of Vehicle, Traffic De...
Sensor based System for Computation of Speed, Momentum of Vehicle, Traffic De...Sensor based System for Computation of Speed, Momentum of Vehicle, Traffic De...
Sensor based System for Computation of Speed, Momentum of Vehicle, Traffic De...
 
Simulation of BART Station at Embarcadero, SFO using Arena
Simulation of BART Station at Embarcadero, SFO using ArenaSimulation of BART Station at Embarcadero, SFO using Arena
Simulation of BART Station at Embarcadero, SFO using Arena
 
ITS - Intelligent Transport System - An Overview
ITS - Intelligent Transport System - An OverviewITS - Intelligent Transport System - An Overview
ITS - Intelligent Transport System - An Overview
 

Destacado (20)

Cw35552557
Cw35552557Cw35552557
Cw35552557
 
Cd35455460
Cd35455460Cd35455460
Cd35455460
 
Di35605610
Di35605610Di35605610
Di35605610
 
Cs35531534
Cs35531534Cs35531534
Cs35531534
 
Ca35441445
Ca35441445Ca35441445
Ca35441445
 
Ax35277281
Ax35277281Ax35277281
Ax35277281
 
Ar35247251
Ar35247251Ar35247251
Ar35247251
 
Am35221224
Am35221224Am35221224
Am35221224
 
Bj35343348
Bj35343348Bj35343348
Bj35343348
 
Bt35408413
Bt35408413Bt35408413
Bt35408413
 
Bf35324328
Bf35324328Bf35324328
Bf35324328
 
Ch35473477
Ch35473477Ch35473477
Ch35473477
 
Dl35622627
Dl35622627Dl35622627
Dl35622627
 
Dn35636640
Dn35636640Dn35636640
Dn35636640
 
Dd35584588
Dd35584588Dd35584588
Dd35584588
 
Cn35499502
Cn35499502Cn35499502
Cn35499502
 
Cr35524530
Cr35524530Cr35524530
Cr35524530
 
Df35592595
Df35592595Df35592595
Df35592595
 
Cz35565572
Cz35565572Cz35565572
Cz35565572
 
Cm35495498
Cm35495498Cm35495498
Cm35495498
 

Similar a Automatic Traffic Info System w/o GPS

Design of Smart Traffic Light Controller Using Embedded System
Design of Smart Traffic Light Controller Using Embedded SystemDesign of Smart Traffic Light Controller Using Embedded System
Design of Smart Traffic Light Controller Using Embedded SystemIOSR Journals
 
Online/Offline Lane Change Events Detection Algorithms
Online/Offline Lane Change Events Detection AlgorithmsOnline/Offline Lane Change Events Detection Algorithms
Online/Offline Lane Change Events Detection AlgorithmsFeras Tanan
 
Tracking and Recovery of the Vehicle using GPS and GSM
Tracking and Recovery of the Vehicle using GPS and GSMTracking and Recovery of the Vehicle using GPS and GSM
Tracking and Recovery of the Vehicle using GPS and GSMIRJET Journal
 
Ijisa v5-n9-10
Ijisa v5-n9-10Ijisa v5-n9-10
Ijisa v5-n9-10Anil Kumar
 
intelligent transportation system
intelligent transportation system intelligent transportation system
intelligent transportation system Mohammed Faazil
 
Intelligent transportion system
Intelligent transportion systemIntelligent transportion system
Intelligent transportion systemraisanoj
 
Review on Design & Implementation of Road Side Symbol Detection In VANET
Review on Design & Implementation of Road Side Symbol Detection In VANETReview on Design & Implementation of Road Side Symbol Detection In VANET
Review on Design & Implementation of Road Side Symbol Detection In VANETIJERA Editor
 
Review on Design & Implementation of Road Side Symbol Detection In VANET
Review on Design & Implementation of Road Side Symbol Detection In VANETReview on Design & Implementation of Road Side Symbol Detection In VANET
Review on Design & Implementation of Road Side Symbol Detection In VANETIJERA Editor
 
IJSRED-V2I1P38
IJSRED-V2I1P38IJSRED-V2I1P38
IJSRED-V2I1P38IJSRED
 
Module 3 Intelligent Transport Systems.pptx
Module 3 Intelligent Transport Systems.pptxModule 3 Intelligent Transport Systems.pptx
Module 3 Intelligent Transport Systems.pptxSilasChaudhari
 
Traffic detection system using android
Traffic detection system using androidTraffic detection system using android
Traffic detection system using androidEditor Jacotech
 
Traffic detection system using android
Traffic detection system using androidTraffic detection system using android
Traffic detection system using androidEditor Jacotech
 
Cloud Based Autonomous Vehicle Navigation
Cloud Based Autonomous Vehicle NavigationCloud Based Autonomous Vehicle Navigation
Cloud Based Autonomous Vehicle NavigationWilliam Smith
 
project report. final
project report. finalproject report. final
project report. finalKumar Prateek
 
Intelligent Transportation System (ITS)
Intelligent Transportation System (ITS)Intelligent Transportation System (ITS)
Intelligent Transportation System (ITS)Muzammil Ahmad
 

Similar a Automatic Traffic Info System w/o GPS (20)

B010620508
B010620508B010620508
B010620508
 
Design of Smart Traffic Light Controller Using Embedded System
Design of Smart Traffic Light Controller Using Embedded SystemDesign of Smart Traffic Light Controller Using Embedded System
Design of Smart Traffic Light Controller Using Embedded System
 
Online/Offline Lane Change Events Detection Algorithms
Online/Offline Lane Change Events Detection AlgorithmsOnline/Offline Lane Change Events Detection Algorithms
Online/Offline Lane Change Events Detection Algorithms
 
Mobile Application to Detect Approach of Crisis Vehicle
Mobile Application to Detect Approach of Crisis VehicleMobile Application to Detect Approach of Crisis Vehicle
Mobile Application to Detect Approach of Crisis Vehicle
 
Tracking and Recovery of the Vehicle using GPS and GSM
Tracking and Recovery of the Vehicle using GPS and GSMTracking and Recovery of the Vehicle using GPS and GSM
Tracking and Recovery of the Vehicle using GPS and GSM
 
Icquest1518
Icquest1518Icquest1518
Icquest1518
 
Ijisa v5-n9-10
Ijisa v5-n9-10Ijisa v5-n9-10
Ijisa v5-n9-10
 
intelligent transportation system
intelligent transportation system intelligent transportation system
intelligent transportation system
 
Intelligent transportion system
Intelligent transportion systemIntelligent transportion system
Intelligent transportion system
 
Review on Design & Implementation of Road Side Symbol Detection In VANET
Review on Design & Implementation of Road Side Symbol Detection In VANETReview on Design & Implementation of Road Side Symbol Detection In VANET
Review on Design & Implementation of Road Side Symbol Detection In VANET
 
Review on Design & Implementation of Road Side Symbol Detection In VANET
Review on Design & Implementation of Road Side Symbol Detection In VANETReview on Design & Implementation of Road Side Symbol Detection In VANET
Review on Design & Implementation of Road Side Symbol Detection In VANET
 
IJSRED-V2I1P38
IJSRED-V2I1P38IJSRED-V2I1P38
IJSRED-V2I1P38
 
Module 3 Intelligent Transport Systems.pptx
Module 3 Intelligent Transport Systems.pptxModule 3 Intelligent Transport Systems.pptx
Module 3 Intelligent Transport Systems.pptx
 
[IJET V2I3P3] Authors: Kavya K, Dr. Geetha C R
[IJET V2I3P3] Authors: Kavya K, Dr. Geetha C R[IJET V2I3P3] Authors: Kavya K, Dr. Geetha C R
[IJET V2I3P3] Authors: Kavya K, Dr. Geetha C R
 
Traffic detection system using android
Traffic detection system using androidTraffic detection system using android
Traffic detection system using android
 
Traffic detection system using android
Traffic detection system using androidTraffic detection system using android
Traffic detection system using android
 
Cloud Based Autonomous Vehicle Navigation
Cloud Based Autonomous Vehicle NavigationCloud Based Autonomous Vehicle Navigation
Cloud Based Autonomous Vehicle Navigation
 
project report. final
project report. finalproject report. final
project report. final
 
Intoduction to ITS
Intoduction to ITSIntoduction to ITS
Intoduction to ITS
 
Intelligent Transportation System (ITS)
Intelligent Transportation System (ITS)Intelligent Transportation System (ITS)
Intelligent Transportation System (ITS)
 

Último

🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 

Último (20)

🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 

Automatic Traffic Info System w/o GPS

  • 1. Melvin F. et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.575-578 www.ijera.com 575 | P a g e Automatic Traffic Information System Without Gps Melvin F. And P. Muthu Subramanian Abstract: In a densely populated country like India, traffic and accidents are major problems. To overcome this, the government has to enlarge roads and introduce many infrastructures to reduce the traffic problems, but it’s not possible make infrastructural renovations in every requisite place. In order to reduce the traffic and road accidents this project introduces a TRANSCEIVER which is more or less like radar and it also uses a DIRECTION SENSOR – (like “cherry SD1012”). Each vehicle has these two modules and each vehicle transmits and receives the signals of the vehicles around the range of the transceiver (say 500m). With the reception of these signals from the vehicles around the specified range the traffic density can be found and we can prompt the user to take a different route or to slow down their speed using software programs from the received data. In order to know the vehicles that are going in the direction of the user, a direction sensor is used. If N number of vehicles are going in a direction (say north), then the TRANSCEIVER will filter the other signals and it will receive signals only from vehicles which are heading in the same direction, so the number of signals received is directly proportional to the traffic density, there by using algorithms we can instruct the user to either slow down or take detour. Using this same principle, by receiving the data from the upcoming traffic signal, we can also know the status of the signal and using algorithms we can instruct the user to either slow down or speed up, in this case traffic signals from a junction are given directions (north, south, east and west) so only the information of the traffic signal which matches the direction of the users’ vehicle will be received and other signals can be attenuated. Thus the DIRECTION and TRANSRECIEVER module together helps to know the locations of vehicles. Once these modules implemented in all vehicles this project finds various applications in ambulance path clearance, traffic police department surveillance, public transports, accident location etc. Keywords—Traffic reduction, Automation, Speed ontrol, Transciever, traffic surveillance I. Introduction In this busy world we spend major part of our utility time in transportation, due to the great increase in the traffic density our travel time has increased although our vehicle speeds have increased. Huge amount of fuel is being wasted every day due to inefficient distribution of traffic on roads. To avoid all this we can distribute the huge amount of traffic in alternate roads. For this we should know the traffic information ahead us. This system helps in retrieving the traffic information without the help of Global Positioning System (GPS). This system works with two main modules the direction sensor and transceiver. This system works in low power hence it can work with the power of the vehicle’s battery. This system finds a lot of applications like ambulance path clearance, traffic police department surveillance, public transports, accident location etc. This unit is user interactive, where a Graphical User Interface (GUI) is present and the user can interact with the system. The display is used to specify the traffic density information and also allows the user to show the alternate paths available. This unit also helps in alarming the civilians about the path of the ambulance and alerts them to give way for them. This unit also helps in giving information about the traffic signals and their timings. So in this paper we are to discuss the overall system design, working and the pros and cons of this system. II. System Design The overall system design can be explained in three parts 1. Vehicle mount 2. Traffic Signal mount 3. Speed trap i. Vehicle mount The design of the vehicle mount can be explained with the block diagram in Fig 1. A. Direction sensor The direction sensor is one of the primary module of this system where it specifies the present direction of the vehicle, this information is used by the processor to filter the vehicles which are on the way of the particular user. B. Vehicle Details Each vehicle has it own features like speed, size, registration number etc. all this detials of the locomotive is sent to the processor so that it can send those details through the transreceiver C. Direction sensor The direction sensor is one of the primary module of this system where it specifies the present direction of the vehicle, this information is used by the processor to filter the vehicles which are on the way of the particular user. RESEARCH ARTICLE OPEN ACCESS
  • 2. Melvin F. et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.575-578 www.ijera.com 576 | P a g e Fig 1. : The design of this vehicle mount is shown in the block diagram D. Vehicle Details Each vehicle has it own features like speed, size, registration number etc. all this detials of the locomotive is sent to the processor so that it can send those details through the transreceiver E. Transceiver The transrecevier which is the most important component, it sends and receives signals to proximity vehicles. The signals are generated by the microprocessor ,they include the direction details and the vehicle details. The transreceiver module can be zigbee, RFID modules etc. . Theirmust be above 1 kilometers.. F. Microprocessor Microprocessor process all the data from direction sensors and the vehicle details to the transreveiver it also process the data received from the proximity vehicles and displays the results in the touch display. G. Display It displays the results generated by the microprocessor it also receives the input from the user. ii. Traffic Signal mount The design of the traffic signal mount can be explained with the block diagram in Fig 2.. A. Direction detail Each junction of the road has four signals, here we are going to assign each signal with directions so the signal detail will be always transmitted. B. Signal timing Each signal has its own time gap between green and red and that timing is sent to microprocessor and sent to the transceiver and then to vehicles coming in that direction. The working of the transceiver and microprocessor is discussed in the earlier segments. Fig 2. : The design of this traffic signal mount is shown in the block diagram iii. Speed trap The design of the vehicle mount can be explained with the block diagram Fig 3. Two of this unit must placed at a distance of 500m to 1000m when the vehicle passes the first unit it receives the signal of the vehicle and notes the time it crosses and the next unit which is placed at a distance also receives the signals and time of crossing with the help of the elapsed time we can know the speed of the
  • 3. Melvin F. et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.575-578 www.ijera.com 577 | P a g e vehicle. The working of the transceiver and microprocessor is discussed early Fig 3. : The design of this speed trap is shown in the block diagram results sent to database III. Working The working of the unit can be explained with the above block diagrams each vehicle will have the vehicle mount on it .It can be powered by the vehicle itself. The direction sensor present in this unit detects the direction of the vehicle heading and sent to the processor and the vehicle details is sent to the processor along with direction details. Now the processor sends to the proximity vehicles with the help of transceiver. The other vehicles heading to the same direction in the road receives the signal of these vehicles, so thereby number signals received by a vehicle is directly proportional to the traffic density of that place. All the details received is processed by the microprocessor and with back running algorithms the results are displayed in the screen present in the unit and now the driver can take decisions of his route and speed thereby reducing the fuel wastage and his time. The signal mount which is present on the signals always sends data to the vehicles about the time gap between green and red signal so and these signals received by the vehicles in that place they can slow down or speed up their car thereby saving time and fuel, also the signal mount receives the signals of the vehicle present in that particular road and with the algorithms it can carry the duration of green signals according to the number vehicles in that road. The speed trap mechanism has two units, placed at a distance of 500m or 1000m when the vehicle passes the first unit it receives the signal of the vehicle and notes the time it crosses and the next unit which is placed at a distance also receives the signals and time of crossing with the help of the elapsed time we can know the speed of the vehicle and thereby it will be useful for the traffic police department. Ambulances while travelling to the hospitals with the victim in it, it has it reach the hospital as fast as possible so the traffic must be cleared , by giving unique identity to the ambulances we can design the vehicle mount microprocessor of the ambulance to give alarms to the vehicles in front of them. IV. Applications  Traffic density information.  Ambulance path clearance.  Signal trespassing prevention.  Speed trapping.  Public transport timings information.  Accident location detection and tracking the vehicle.  Vehicle theft prevention. V. Advantage and Disadvantage Advantages:  It does not need gps and satellites.  Cost is low.  Implementation in vehicle is easy and it’s small in size.  It has wide variety of application in all fields of transportation.  It can be used for both two wheelers and multi axle vehicles.  Reduces the wastage of fuel and saves travel time.  It provides all information mentioned above for free. Disadvantages: The range and number of channels of trans- receiver is now limited and the implementation in all vehicles will be mammoth project in terms of production. VI. Conclusion In this paper we have proposed our ideas of this system and in future with upcoming inventions in communication field this would be very easy to implement. In our forth coming papers we would like to publish our results of this project.
  • 4. Melvin F. et al. Int. Journal of Engineering Research and Application www.ijera.com Vol. 3, Issue 5, Sep-Oct 2013, pp.575-578 www.ijera.com 578 | P a g e Acknowledgment We heartily convey our gratitude for helping to develop this project to our Head of the Department Mrs. Dr. A. Rajeswari and Prof. Smt.M.Poongothai and to our friend Pranesh R. of Coimbatore institute of Technology ,Coimbatore., and to our family and friends for supporting us to do this project. References [1] “ZigBee Wireless Networks and Transceivers” By Shahin Farahani [2] Tung, H.; Tsang, K.; Chui, K.; Tung, H.; Chi, H.; Hancke, G.; Man, K., "The Generic Design of a High Traffic Advance Metering Infrastructure Using ZigBee," Industrial Informatics, IEEE Transactions on , vol.PP, no.99,pp.1,1,0doi: 10.1109/TII.2013.2280084 [3] Aisha Al-Abdallah, A.; Asma Al-Emadi, A.; Mona Al-Ansari, M.; Nassma Mohandes, N.; Malluhi, Q., "Real-time traffic surveillance using ZigBee," Computer Design and Applications (ICCDA), 2010 International Conference on , vol.1, no., pp.V1-550,V1- 554,25-27June2010doi : 10.1109/ICCDA.2010.5540694 [4] Wei Shen; Wynter, L., "Real-time road traffic fusion and prediction with GPS and fixed- sensor data," Information Fusion (FUSION), 2012 15th International Conference on , vol., no., pp.1468,1475, 9-12 July 2012 [5] Mittal, A.K.; Bhandari, D., "A novel approach to implement green wave system and detection of stolen vehicles," Advance Computing Conference (IACC), 2013 IEEE 3rd International , vol., no., pp.1055,1059,22- 23Feb.2013 doi: 10.1109/IAdCC.2013.6514372 [6] Introduction to Modern Traffic Flow Theory and Control: The Long Road to By Boris S. Kerner [7] Building Wireless Sensor Networks: with ZigBee, XBee, Arduino, and Processing By Robert Faludi [8] MSP430 Microcontroller Basics By John H. Davies [9] RF Transceiver Design for MIMO Wireless Communications By Abbas Mohammadi, Fadhel M. Ghannouchi Authors P. Muthu Subramanian Asst.proffesor at Coimbatore Institute of Technology, ECE dept. pursed B.Tech ECE at Pondicherry University and M.E Embedded System Technologies at Anna Univetsity campus, Anna University Coimbatore. He is now pursuing Ph.d in Embedded Security. Email ID:muthuspv@gmail.com Melvin F. is pursuing B.E in Electronics and Communication Engineering in Coimbatore Institute of technology,Coimbatore-14. Email ID: melvinthecoolguy@gmail.com Ph:+91-95665-81840.