Water Industry Process Automation & Control Monthly - April 2024
Traffic Queueing analysis using VISSIM Software by RK
1. A presentation on
QUEUEING ANALYSIS USING VISSIM
SOFTWARE
Under the guidance of
Internal guides :
Rahul L Kadam
Assistant professor
Dept. of Civil Engineering, RITM, Bengaluru.
by
Ramkrishna P Jagali
USN : 1RE14CTE12
P S Reddy
P.G Coordinator
Dept. of Civil Engineering, RITM,
Bengaluru.
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3. Introduction
The growth in urban traffic has been recognized as serious problem
in metropolitan areas in the country, with significant effect on
economy, travel behavior, land use and cause of discomfort for
millions of motorists.
Bangalore today is obviously one of the most sought after cities in
the country what with the rapid growth in the IT industry and the
rise in the number of job opportunities in the city.
With the rising population there is also a corresponding increase in
number of vehicles in the city and huge increase in the demand in
land.
What adds to the traffic pressure in Bangalore in particular is that
there is very little scope for expansion of roads and the need to use
existing roads for smooth movement of vehicles is even more
pronounced.
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4. Continued..
It thus becomes mandatory for the administration to ensure better
parking facilities.
According to BTRAC-2010 website rapid population growth
because of IT and other associated industries in Bangalore has led
to an increase in the vehicular population to about 1.5 million,
with an annual growth rate of 7-10%.With the increase in
population and the expansion of the city, the problem of
connectivity of the populace has arisen.
Quite obviously personalized modes of transport have grown at a
tremendous rate and two wheelers along with the cars almost
comprise 90% of the total registered vehicular population in the
city. Two wheelers constitute more than 70% of the total volume,
while cars comprise 15%, autos 4% and the remaining 8%
includes other vehicles such as buses, vans and tempos.
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5. V/C ratios of different roads of Bangalore (Source: BTRAC
website)
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6. Composition of vehicles in Bangalore City (Upto 31-12-2009)
In peak hours, travel speed will be below 15 kmph.
On street parking is more because lack of parking space.
Immense increase of Private Vehicles on road, reducing the space
for Public Vehicles.
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7. Objectives
To obtain the PCU values at selected intersections.
To Understand the driver behavior by measuring the Discharge
speed in the field
To measure saturation flow of the approaches.
To compare the delays obtained using micro simulation software,
VISSIM with the observed field delays.
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9. Literature review
Sarna and Malhotra (1967) have developed the relationship
between the saturation flow and the approach road width at
signalised intersection. The results had showed that the
saturation flow increases with the increase in approach
volume.
Gopal patil et.al (2007) have developed regression models in
his study to estimate saturation flow at signalized intersections.
The model was developed and validated on the basis of data
collected from Mumbai, India. They remarked that PCU
calculation is uneven at the selected intersections.
Shuguo Yang et.al (2014) have sets up the queuing model,
analyses the traffic flow of Shenzhen intersection through
analyzing the queuing theory deeply, and uses the model to
analyze the settings of the lane that based on the certain degree
of accuracy. 9
10. Study Location
Signalized intersections are important crossing
points in transportation network and their
productivity of operation greatly influences the
entire transportation network performance.
Following are the intersection selected for the
study;
Vijayanagar TTMC Intersection
Attiguppe Metro Station Intersection
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13. Data collection
Types of surveys conducted
Road inventory survey
Road width, carriageway width, footpath width
No of Lanes, Lane width, Approach width
Traffic survey
Classified volume count
Spot speed study
Traffic signal survey
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14. Classified volume count
Video camera was used to do the classified traffic
volume count on the field. Video based method
minimizes the human errors and overcomes the
difficulties in collecting traffic information.
Advantages of Video graphic method;
It is unobtrusive and requires small labour power
It produces permanent, complete record of the
traffic scene
Recording may be re-analysed at any stage
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16. Data analysis
Geometric and signal cycle details
Intersection Study Approaches Area type Carriagew
ay width
(m)
Cycle time (sec) Green excluding
amber (sec)
Vijayanagar TTMC
Intersection
From Vijayanagar CBD 7.5 167 45
From Attiguppe
Metro Station
CBD 7.5 167 35
From RPC Layout CBD 6.0 167 20
From Marenahalli CBD 6.0 167 25
From TTMC CBD 7.0 167 27
Attiguppe Metro
Station
From Vijayanagar CBD 7.5 120 40
From
Deepanjalinagar
CBD 7.5 120 40
From Chandra
Layout
CBD 7.0 120 95
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17. Signal Phase details at Vijayanagar TTMC
intersection
Phase
Study Approach 1 2 3 4 5 Cycle
time
From Vijayanagar R L S
167
From Attiguppe Metro
Station
R L S
From RPC Layout R L S
From Marenahalli R L S
From TTMC R S
27 25 45 35 20
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18. Signal Phase details at Attiguppe Metro
Station intersection
Phase
Study Approach 1 2 3 Cycle time
From Vijayanagar R L S
120
From Deepanjalinagar R L S
From Chandra Layout R L S
40 40 31
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21. Estimated PCU Values
TYPE OF
VEHICLE
MEAN SPEED
(kmph) Vs
Vs/Vi As/Ai PCU PCU
Car 41.43 1 1 1 1
Two wheelers 35.04 1.182363014 4.491666667 0.263234808 0.3
Truck 37.78 1.096611964 0.305902384 3.584842821 3.6
Bus 38.94 1.06394453 0.217865804 4.883485654 4.9
LCV 33.47 1.237824918 0.420765027 2.941843636 2.9
Auto 32.56 1.272420147 1.203125 1.057595967 1.1
Cycle 13.32 3.11036036 6.341176471 0.490502098 0.5
Mini Bus 35.23 1.175986375 0.331081081 3.551958848 3.621
22. Vehicle dimensions Considered for PCU
Calculation
Category of vehicle Average dimensions (m)
Projected area on
ground (m2)
Length width
Car 3.72 1.44 5.39
Two wheelers 1.87 0.64 1.2
Truck 7.5 2.35 17.62
Bus 10.1 2.43 24.74
LCV 6.1 2.1 12.81
Auto 3.2 1.4 4.48
Cycle 1.9 0.45 0.85
Mini Bus 7.4 2.2 16.28
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27. Saturation flow measured flow
Name of Intersection Lane Group Average
Saturation
Flow in
veh/hr
Width in m Volume in
veh/hr
Vijayanagar TTMC
intersection
From Vijayanagar
3196
7.5 3292
From Attiguppe Metro Station 3196 27277.5 3256
From RPC Layout 2604 6.0 525
From Marenahalli
2692
6.0 527
From TTMC
104
7.0 76
Attiguppe Metro Station
intersection
From Vijayanagar
2966
7.5 2611
From Deepanjalinagar
2978
7.5 2649
From Chandra Layout
2890
7.0 2150
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46. Conclusions
The field delay measured shows that all the approaches
considered for the present study have a level of service F.
The v/c ratios of the approaches are also less than one
and good progression is observed during green cycle.
The field delay measured shows that all the approaches
considered for the present study have a level of service B.
The v/c ratios of the approaches are also less than one
and good progression is observed during green cycle.
Queue delay, Queue length and Travel time have been
reduced and level of service also increased from F to B.
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