MADE BY SHRIKRISHNA KESHARWANI 1ST YR ASSIGNMENT MASTERS OF TECHNOLOGY TRANSPORTATION ENGINEERING NIT WARANGAL

1. • Group Members- Shrikrishna Kesharwani
(22CEM3R23)
Abhishek Singh Baghel (22CEM3R02)
Traffic simulation at Toll road
section using PTV Vissim Software
COURSE PROJECT TOPIC-
Transportation Division
Department of Civil
Engineering
NIT Warangal
Academic Year-2022
1

2. FLOW OF PRESENTATION
INTRODUCTION
RESULTS
LITERATURE REVIEW
ISSUES
2
C
O
N
C
L
U
S
I
O
N
METHODOLOGY
FOLLOWED
2

3. INTRODUCTION-
• To verify the model's correctness by comparing the
simulation results with actual traffic data, if any is
available
• The goal of this research is to simulate traffic flow
on a segment of a toll road using PTV Vissim
software by incorporating driver behaviours.
3
OBJECTIVES-
SCOPE-
• To create a traffic simulation model that properly simulates a
toll road stretch using PTV Vissim software.
• The outcomes of the simulation like Volume, delay etc. will be used to
determine LOS of toll plaza as well as to compare the field and simulated
result values.

4. LITERATURE REVIEW
4
TITLE AUTHOR SUMMARY
Use of Microscopic Traffic Simulation
Software to Determine Heavy-Vehicle
Influence on Queue Lengths at Toll Plazas
Mahdi et al.
(2019)
• The toll plaza model was constructed by using desired speed and
service time as a key parameter and after comparing model MOE
(Measure of Effectiveness) to the existing MOE.
• T test Analysis was done was done and the same desired speed and
service time parameters were used to calibration of the model.
Simulation of Traffic Operation and
Management
at Malaysian Toll Plazas using VISSIM
Hilmy & Hamid
(2011)
• In order to obtain outputs like total delay, average delay, average
number of vehicles processed per booth, and total number of
vehicles processed at toll plazas.
• The study evaluated a number of input parameters, including
vehicle volumes, the number of toll booths, the size of the waiting
area, the types of payment systems, and traffic access
arrangements.

5. LITERATURE REVIEW
5
TITLE AUTHOR SUMMARY
Examining the effect of Electronic Toll
collection system on queue delay using
microsimulation approach at toll plaza: A
case study of Ghoti toll plaza , India
Bari et al. (2021)
• Explores the potential impact of an Electronic Toll Collection (ETC)
system on queue delay at a toll plaza in India.
• For calibration of the model Average Standstill Safety distance was
used.
• Wiedemann 74 vehicle following model was used.
Analysis of Toll Station Operations in Sri-
Lanka
using a Micro-Simulation Technique
Vidanapathirana
& Pasindu (2017)
• The data collected was AADT and Vehicle composition during the
peak hour
• For System calibration, Speed, Traffic flow, Routing choice and
Geometry were calibrated
• For operational calibration Car following, Lane change behavior and
Lane change distance were used..

6. LITERATURE REVIEW
4
TITLE AUTHOR SUMMARY CALIBERATION PARAMETERS
Optimizing and
Modelling Tollway
Operations Using
Microsimulation.
Bains et al.
(2017)
• Scenario using NPRT help in decreasing queue length
and also reduce delay and increase volume per hour.
• While scenario 2 result was not good it was based on
segregating lanes for HV and car for improving level of
service and decreasing conflicts but due to segregation
of lanes volume decrease and queue length increased.
• Average standstill safety distance
• Keep lateral distance from vehicle
• Minimum lateral distance
• Minimum lateral distance
A simulation
Based study for
the Optimization
of Toll Plaza with
Different Lane
Configuration: A
Case Study of Ravi
Toll Plaza Lahore,
Pakistan
Ahmad et al.
(2021)
• Result shows that using E-tag in lanes gives
improvement of 75.9 %, 93.6% and 57.7% in
throughputs, waiting time & queue length
respectively.
• Maximum speed of the vehicle
• Average standstill safety distance
• The actual speed and acceleration of the vehicle in the
road network

7. LITERATURE REVIEW
4
TITLE AUTHOR SUMMARY CALIBERATION PARAMETERS
Operational
Optimization of
Toll Plaza Queue
length Using
Microscopic
Simulation VISSIM
Model.
Mittal &
Sharma
(2022)
• The model's application as toll plaza designing is also
studied after evaluating the number of toll lanes
depending on minimum queue length and minimum
waiting time criteria.
• Average standstill safety distance
• Keep lateral distance from vehicle
• Minimum lateral distance
• Minimum lateral distance

8. METHODOLOGY-
8

9. DATA COLLECTION-
9
• There are 8 toll booths in the model through which
vehicles are passing as can be seen in the CCTV
footage data.

10. 10
VEHICLE
COMPOSITION
74%
7%
17%
2%
Vehicle composition (Direction- Away from Camera)
CAR
LCV
TRUCK
BUS
48%
9%
34%
9%
Vehicle composition (Direction- Towards the Camera)
CAR
LCV
TRUCK
BUS

11. 11
SERVICE TIME
632
512
0 100 200 300 400 500 600 700
Away from Camera
Towards the camera
No. of vehicles
Direction
Total Number of vehicles in one hour
3.7692 3.636
15.296
17.67
4.40
8.64
13.16
7.75
0
2
4
6
8
10
12
14
16
18
20
CAR LCV TRUCK BUS
Service
Time
(Sec.)
Vehicle type
Average Service Time
AVERAGE SERVICE TIME (AWAY FROM CAMERA)
AVERAGE SERVICE TIME (TOWARDS THE CAMERA)
TOTAL
VOLUME

12. 12
BASE MODEL DEVELOPMENT

13. 13
DATA INPUT

14. 14
Node

15. 15
SIMULATION

16. 16
CALIBRATION PARAMETERS

17. RESULTS-
17
570.16
539.3
579.7
533.03
632
512
0
100
200
300
400
500
600
700
away from camera towards the camera
Vehicles
per
hour
Direction
Total volume
total volume before caliberation total volume after caliberation total input volume
9.784810127
5.06211756
8.275316456
3.945368929
0
2
4
6
8
10
12
away from camera towards the camera
%
Error
(Absoulte
value)
Direction
% Error in volume
total % error before caliberation total % error after caliberation

18. 18
329.74
144.92
31.38 26.99
244
176
48 44
0
50
100
150
200
250
300
350
car hgv bus lcv
No.
of
Vehicle
Type of vehicles
One hour Volume (After caliberation)
towards the camera simulated towards the camera observed
444.7
96.97
5.94
32.09
468
108
12
44
0
50
100
150
200
250
300
350
400
450
500
car hgv bus lcv
No.
of
Vehicle
Type of Vehicle
One hour Volume (After caliberation)
away from camera simulated away from camera observed
VOLUME (AFTER CALIBERATION)

19. DELAY AND LOS-
19
Direction TOLL COUNTER-
LOS ( BEFORE
CALIBERATION)
LOS (AFTER
CALIBERATION)
Away from camera
TOLL A LOS_A LOS_A
TOLL B LOS_B LOS_A
TOLL C LOS_A LOS_A
TOLL D LOS_B LOS_B
Towards the
camera
TOLL E LOS_A LOS_A
TOLL F LOS_A LOS_A
TOLL G LOS_C LOS_C
TOLL H LOS_C LOS_B
COMBINED LOS_B LOS_B
6.11
10.75
5.17
10.3
7.86
6.25
21.25
15.6
5.82
8.12
4.85
10.87
7.79
6.03
20.59
14.12
TOLL A TOLL B TOLL C TOLL D TOLL E TOLL F TOLL G TOLL H
AWAY FR OM C AM ER A TOWAR DS THE C AM ER A
DELAY
(IN
SECONDS)
TOLLS-
VEHICLE DELAY
VEH. DELAY(BEFORE CALIBERATION) VEH. DELAY(AFTER CALIBERATION)

20. 20
PRACTICAL ISSUES-
Computational
Resources
Accuracy of the
Simulation
Model
Calibration and
Validation
Human Factors
Data
Availability

21. 21
CONCLUSION-
• This study has effectively shown the value of include driver behaviour in traffic simulation models and
the necessity of calibration to provide reliable findings.
• To boost the model's capacity for traffic flow and improve its accuracy, the parameters CC0 and CC1
were modified.
• The simulation findings demonstrated that after modifying the driving behaviour settings, the total
volume input and level of service both improved.
• After the model calibration, the vehicle delay was also decreased. The model's accuracy was raised as
a consequence of the calibration process's decrease of error values.
• Overall, the findings of this work may be applied to enhance the precision of traffic simulation models
and optimise toll plaza operations.

22. 22

23. • Bari, C., Gupta , U., Chandra, D., antoniou, c., & dhamaniya, a. (2021). Examining effect of electronic Toll
collection (ETC) System on Queue Delay Using Microsimulation Approach at toll plaza - A case study
of ghotitoll plaza, India.
• Mahdi, M. B., Leong, L. V., & Sadullah, A. F. (2019). Use of Microscopic Traffic Simulation Software to
Determine Heavy-Vehicle Influence on Queue Lengths at Toll Plazas.
• Hilmy, A., & Hamid, A. (2011). Simulation of Traffic Operation and Management at Malaysian Toll
Plazas using VISSIM. doi:10.13140/2.1.2633.8249
• Vidanapathirana, C., & Pasindu, H. (2017). Analysis of Toll Station Operations in Sri Lanka using a
Micro-Simulation Technique.
REFERENCES-