IRJET- Design and Development of Traffic Flow Prediction System for Efficient Traffic Movements in Amravati City: A Review
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This document discusses the design and development of a traffic flow prediction system for Amravati City, India to improve traffic movements. It begins by noting the increasing traffic problems in Amravati due to rising vehicle numbers. The city currently uses pre-timed traffic signal controls that are inefficient. The paper proposes an intelligent transportation system using traffic signal optimization and coordination to predict traffic flows. It reviews literature on traffic simulation software and signal timing optimization methods. It then describes the methodology for developing the prediction system, which involves data collection, network modeling, simulation calibration, and using VISSIM and Synchro software to simulate and optimize traffic flows. The goal is to reduce delays, queues and travel times at intersections in Amravati.
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 520
Design and Development of Traffic Flow Prediction System for Efficient
Traffic Movements in Amravati City: A Review
Mr. Suraj U. Chame1, Prof. Y. S. Khandekar2
1Student, Dr. Rajendra Gode Institute of Technology & Research, Amravati, Maharashtra, India
2Professor, Dept. of Civil Engineering, Sipna College of Engineering & Technology, Amravati, Maharashtra, India
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract – In India number of vehicles are increasing day by
day hence major cities in India like Amravati facing so many
problems such as loss of time, increase in fuel consumption,
increase in noise pollution and it caused long queues which
produce inconvenience, frustration to drivers or road users.
The city Amravati has too many intersections and too many
traffic signals.
It rely on pre timed control signal system or fixed cyclecontrol
signal system hence it is beneficial to optimize traffic signal
and coordinated it by means of Intelligent transportation
system. It is not yet adopted on Indian roads. This paper
presents an intelligent transportation system for traffic flow
prediction and controls it through traffic signal optimization
and coordination.
Key Words: Optimized signal cycle time, Signal Timing
Optimization, Traffic signal coordination, Traffic Flow
Prediction, Traffic Simulation.
1. INTRODUCTION
Urban traffic problem, an important factor that affects the
development and restricts the economic construction of
cities. It’s a complex system in a random way so it was
necessary to optimize traffic control signals to cope with so
much urban traffic problems. Inappropriate signal timing.
Plans can cause not only discomfort (extra delay) to drivers
but also increased emissions and fuel consumption. Thus, it
is important to investigatethepracticeofsignal optimization
methodology to ensure that newly developed timing plans
will improve the system performance. Cross intersection is
an important part of the urban roadsystem[1].Signal timing
optimization is most important method that improves the
intersection level. Intersection is an important part of the
urban road system. It is very easy to cause the low efficiency
in vehicle operating that vehicle have diverging, merging or
intersecting repeatedly on the grade crossing. This case will
cause the decline of the ability in traffic capacity, the
increasing of vehicle delay, and thus the noise pollution and
exhaust emission will increase. On the other hand, once the
intersection is blocked, it is not only the roads near the
intersection but also the roads which are far away will be
affected.
Therefore, organizational optimization is needed for traffic
operating on the intersection. Nowadays, traffic simulation
techniques are increasingly being used to optimize the
intersection condition. It becomes an essential tool in
researching and solving the traffic problem. Traffic
simulation investigates the characteristic of reappearing
practical traffic system throughmoderncomputertechnique
for pursuing an optimum solution for practical traffic
problem. Traffic simulation describesthecomplicatedtraffic
property accurately and directly throughreappeartheorder
of traffic flow [4]. Currently, according to the level of detail
traffic model can be divided into micro-model, meso model
and macro-model. Amongthem,micro-simulationmodel can
be at a high level of detail to describe the whole system and
its internal relationship. In congested traffic conditions, the
study of individual behavior andindividual characteristicsof
the vehicle is often the factor of traffic congestion and traffic
congestion analysis for those data to determine the rush
hour flow. Moreover, researchers can make analysis and
calculations for the rush hour traffic characteristic, the
remaining capacity and the saturation through determining
the nature and the quantity, and then investigate the vehicle
correlation non-vehicle correlation and mixing problem by
observing the video recording and surveying. Collection,
problem analysis, program optimization, and program
evaluation). Synchro system specially engages in signal
timing. It sets the time delay, number of stop and queue
length these three indices as the target function, and
consider the maximum period, minimum period and phase
minimum green light time as the limitation[8].Synchrois an
easily and excellent signal timing optimization software to
make up for the trouble of manual calculations [7]. James
Mulandi [9] and some other researchers make comparative
experiments on various simulation software’s under the
same geometry and traffic conditions and carried out that in
many simulation software’s, VISSIMbasedgeneticalgorithm
optimization of signal timing andSynchro programsproduce
signal timing of the highest quality and provide extremely
similar performance.
2. TRAFFIC SIGNAL OPTIMIZATION PRACTICES
There are a variety of computer software programs to aid
transportation engineers in the analysis and optimization of
signal timing plans. Intersection analysis helps to improve
traffic signal operation (reduce delays, queues, and travel
times) and reduce vehicle-operating costs (reduce fuel
consumption). Arterial signal synchronization is one of the
most cost-effective methods for reducing vehicle operating](https://image.slidesharecdn.com/irjet-v6i1261-200104095049/85/IRJET-Design-and-Development-of-Traffic-Flow-Prediction-System-for-Efficient-Traffic-Movements-in-Amravati-City-A-Review-1-320.jpg)
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 521
costs and improving traffic flow performance along urban
arterials. Arterial signal optimization models, such as
Synchro and TRANSYT-7F, have been developed to assist
traffic engineers in coordinating traffic signal settings along
urban arterials and around networks. Additionally, limited
efforts have been made to use GAs for signal optimization.
Paracha (1999) conducted a study optimizing five
intersections using Synchro and TRANSYT-7F [5]. For each
program,multiplesimulationrunsweremadeusing CORSIM,
a stochastic and microscopic simulation program. The
simulations of the CORSIM simulation model were used to
approximate how the timing plans would work in the real
world.Results from the studyshowedthatnosinglesoftware
package provided the best solutiontoallofthescenarios.The
results indicated that both Synchro and TRANSYT-7F can be
used effectively for optimization of signal timings at
intersections with approximately equal effectiveness. This
study was limited to isolated intersections, and distribution
of variability was not considered. Yang (2001) compared
SynchroandTRANSYT-7Foptimizationprograms.Thegoalof
the study was todeterminewhichpackagecouldbestprovide
a timing plan to improve existing traffic performance along
an arterial in Lawrence, Kansas. The test site included nine
signalized intersections 16,050 feet in length.CORSIMwasto
evaluate the effectiveness of the signal timing plans. The
study showed that Synchro coordination produced great
results.
3. CALCULATE OFFSETS BY ALGEBRIC METHODS
Algebraic method determines the bestpublicsignalcycleand
offset by seeking the ideal intersection distance whichmatch
with the actual intersection distance best, in order to make
the t arterial coordinationandcontrolsystemgetthegreatest
possible bandwidth and the ideal coordination and control
effects [8-9]. The steps are as follows:
1. Determine the initial public signal cycle,
2. Determine the ideal distance between the
intersections,
3. Get the best ideal value of the intersection spacing
and make sure the best ideal intersection spacing
match with the actual distance between the
intersections.
4. Determine the best public signal cycle of the final
Selection.
5. According to the location relative to the ideal
intersection in which the position located, we
determine the phase size.
4. METHODOLOGY
Step 1: Collecting the information on the intersection.
Researchers can record the road width, road properties,
signal timing,queuelengthandtimedelaythroughsurveying.
And researchers can record the traffic flow in various
directions and time segments and save the traffic condition
through video recording.
Step 2: Inputting the collected road network data into the
AutoCAD to establish static network model accurately. Then
the researcher can input the proceed flow data, motorcycle
type ratio data and signal timing data, and make analysis for
those data to determine the rush hour flow. Moreover,
researchers can make analysis and calculations for the rush
hour traffic characteristic, the remaining capacity and the
saturation through determining the nature and the quantity,
and then investigate the vehicle correlation non-vehicle
correlation and mixing problem by observing the video
recording and surveying.
Step 3: Determining the scope and time of the simulation.
Then through the orthogonal test, researchers compare and
calibrate parameters of the intersection with VISSIM
simulation. After simulation, the researchers can proofread
the simulation results with the signal timing data, vehicle
flow data, queue length, delay time and video recording to
ensure the precision of simulation, and then find the way to
optimize the intersection system. Researcherscandesignthe
optimization strategy in geometry optimization and signal
timing. Then the researcher can input the proceed flow data,
Motorcycle type ratio data and signal timing data, and make
architecture with significant reduction in power
consumption.
Fig -1
The study of this developan onlineadaptiveprioritystrategy
system for optimize traffic operation at a series of
consecutive grade crossings normally in urban areas. The
proposed strategy takes into account the effect on cross-
street traffic also. The mathematical model of nonlinear
programming with linear constraints can be formulated to
reduce overall passenger delays at grade crossings for light
rail transit and to minimize the impact on cross-streettraffic.
The optimization can be enabled by real-timeor arrival-time
predicted by use of GPS-equipped vehicles. It exhibit the
recalculated performance of the proposed strategy system,
both a numerical analysis and a simulation test are
conducted. There are several phases ofoperationinstandard](https://image.slidesharecdn.com/irjet-v6i1261-200104095049/85/IRJET-Design-and-Development-of-Traffic-Flow-Prediction-System-for-Efficient-Traffic-Movements-in-Amravati-City-A-Review-2-320.jpg)
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 522
traffic models. For example, 2-phasesystems, 3- phase
systems etc. The Fig. Illustrates the two phases in the 2-
phase operation. As it can be seen the 2- phase systems are
only suitable forjunctionswithlesspercentageofright turns.
Fig -2: Phase 01
Fig -3: Phase 02
5. THE COMBINATION OF VISSIM AND SYNCHRO IN
TRAFFIC SIMULATION
VISSIM is a discrete, stochastic, time step of microscopic
traffic flowsimulationmodel[6].Moreover,VISSIMiscapable
to model and analyze the urban traffic operation under
various traffic conditions such as road setting, traffic
composition, traffic signals, bus stops, etc. VISSIM can
simulate directly and vividly the changing conditions of
vehicle configuration and road situation. And then evaluate
the strategy [7]. Synchro system specially engages in signal
timing. It sets the time delay, number of stop and queue
length these three indices as thetargetfunction,andconsider
the maximum period, minimum period and phase minimum
green light timeas the limitation [8]. Synchro isan easily and
excellent signal timing optimization software to make up for
the trouble of manual calculations [7]. In this paper, micro-
simulation software VISSIM and Synchroarecombiningused
to simulate and optimize the practical intersection issue
which can make up the shortcoming of using software alone.
The combination exerts the advantages of VISSIM which can
simulate the status and output accurate simulation
conclusions and the advantages of Synchro which evaluates
the status clearlyand accurately. The combinationmakesthe
simulation and optimization simply, conveniently and
overcomethe trouble of manual calculations. The evaluation
of combination has a strong practical and there is a certain
reference for other intersections solving congestion
problems.
6. CONCLUSION
The intersection is one of the most important parts in traffic
network. It is act like the key node in for avoiding traffic
congestion so the intersection control study is attracting
more and more researcher’s attention. Signal optimizationis
very effective techniques for improving intersection level of
service and make it more efficient.
REFERENCES
[1] Zhao Xin-hua., 2010. Optimal design of urban road
intersection,. Railway Construction.
[2] Yuehui Yang, Yao Lu1, Limin Ji2, Yong Qin, Honghui
Dong. 2012. Optimized simulation on the intersection
traffic control and organization based on combined
application of simulation softwares 24th Chinese
Control and Decision Conference (CCDC).
[3] Zichuan Li. 2011. Modeling Arterial Signal Optimization
with Enhanced Cell Transmission Formulations.Journal
of Transportation engg. ASCE.
[4] Ilsoo Yun, Byungkyu. 2006 application of stochastic
optimization method for an urbancorridor.Proceedings
of the 2006 Winter Simulation Conference.
[5] Diao Pengdi, Nuerlan Muhan, Wang Zhuo1, Zhang
Zundong, Dong Honghui. 2012 IEEE
[6] Li Min. 2011" Amendment to TrafficSignal Optimization
for Transverse Interference " 2011 International
Conference on Transportation, Mechanical, and
Electrical Engineering (TMEE)
[7] Yinfei Li . 2009. 2009 IITA International Conference on
Services Science, Management and Engineering.
[8] Li Yinfei, Wei Wei, Chen Shuping. 1989. Optimal Traffic
Signal Control for an Urban Arterial Road. Second
International Symposium on Intelligent Information
Technology Application.
[9] D.T Dissanayake, S.M.R Senanayake, H.K.D.W.M.M.R
Divarathne, B.G.L.T. Samaranayake 2009. Real-Time
Dynamic Traffic Light Timing AdaptationAlgorithmand
Simulation Software](https://image.slidesharecdn.com/irjet-v6i1261-200104095049/85/IRJET-Design-and-Development-of-Traffic-Flow-Prediction-System-for-Efficient-Traffic-Movements-in-Amravati-City-A-Review-3-320.jpg)
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 523
[10] Guoyuan Wu1 LipingZhang, Wei-bin Zhang, and
Masayoshi Tomizuka. 2012. Signal Optimization at
Urban Highway Rail Grade Crossings Using an Online
Adaptive Priority Strategy.
[11] Zhao jun bo,Yang jie and zang hui –ling. 2010
Optimization method of the cycle and critical phase on
signal control intersection.. International conferenceon
optoelectronics and image processing.](https://image.slidesharecdn.com/irjet-v6i1261-200104095049/85/IRJET-Design-and-Development-of-Traffic-Flow-Prediction-System-for-Efficient-Traffic-Movements-in-Amravati-City-A-Review-4-320.jpg)
IRJET- Design and Development of Traffic Flow Prediction System for Efficient Traffic Movements in Amravati City: A Review
- 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 520 Design and Development of Traffic Flow Prediction System for Efficient Traffic Movements in Amravati City: A Review Mr. Suraj U. Chame1, Prof. Y. S. Khandekar2 1Student, Dr. Rajendra Gode Institute of Technology & Research, Amravati, Maharashtra, India 2Professor, Dept. of Civil Engineering, Sipna College of Engineering & Technology, Amravati, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract – In India number of vehicles are increasing day by day hence major cities in India like Amravati facing so many problems such as loss of time, increase in fuel consumption, increase in noise pollution and it caused long queues which produce inconvenience, frustration to drivers or road users. The city Amravati has too many intersections and too many traffic signals. It rely on pre timed control signal system or fixed cyclecontrol signal system hence it is beneficial to optimize traffic signal and coordinated it by means of Intelligent transportation system. It is not yet adopted on Indian roads. This paper presents an intelligent transportation system for traffic flow prediction and controls it through traffic signal optimization and coordination. Key Words: Optimized signal cycle time, Signal Timing Optimization, Traffic signal coordination, Traffic Flow Prediction, Traffic Simulation. 1. INTRODUCTION Urban traffic problem, an important factor that affects the development and restricts the economic construction of cities. It’s a complex system in a random way so it was necessary to optimize traffic control signals to cope with so much urban traffic problems. Inappropriate signal timing. Plans can cause not only discomfort (extra delay) to drivers but also increased emissions and fuel consumption. Thus, it is important to investigatethepracticeofsignal optimization methodology to ensure that newly developed timing plans will improve the system performance. Cross intersection is an important part of the urban roadsystem[1].Signal timing optimization is most important method that improves the intersection level. Intersection is an important part of the urban road system. It is very easy to cause the low efficiency in vehicle operating that vehicle have diverging, merging or intersecting repeatedly on the grade crossing. This case will cause the decline of the ability in traffic capacity, the increasing of vehicle delay, and thus the noise pollution and exhaust emission will increase. On the other hand, once the intersection is blocked, it is not only the roads near the intersection but also the roads which are far away will be affected. Therefore, organizational optimization is needed for traffic operating on the intersection. Nowadays, traffic simulation techniques are increasingly being used to optimize the intersection condition. It becomes an essential tool in researching and solving the traffic problem. Traffic simulation investigates the characteristic of reappearing practical traffic system throughmoderncomputertechnique for pursuing an optimum solution for practical traffic problem. Traffic simulation describesthecomplicatedtraffic property accurately and directly throughreappeartheorder of traffic flow [4]. Currently, according to the level of detail traffic model can be divided into micro-model, meso model and macro-model. Amongthem,micro-simulationmodel can be at a high level of detail to describe the whole system and its internal relationship. In congested traffic conditions, the study of individual behavior andindividual characteristicsof the vehicle is often the factor of traffic congestion and traffic congestion analysis for those data to determine the rush hour flow. Moreover, researchers can make analysis and calculations for the rush hour traffic characteristic, the remaining capacity and the saturation through determining the nature and the quantity, and then investigate the vehicle correlation non-vehicle correlation and mixing problem by observing the video recording and surveying. Collection, problem analysis, program optimization, and program evaluation). Synchro system specially engages in signal timing. It sets the time delay, number of stop and queue length these three indices as the target function, and consider the maximum period, minimum period and phase minimum green light time as the limitation[8].Synchrois an easily and excellent signal timing optimization software to make up for the trouble of manual calculations [7]. James Mulandi [9] and some other researchers make comparative experiments on various simulation software’s under the same geometry and traffic conditions and carried out that in many simulation software’s, VISSIMbasedgeneticalgorithm optimization of signal timing andSynchro programsproduce signal timing of the highest quality and provide extremely similar performance. 2. TRAFFIC SIGNAL OPTIMIZATION PRACTICES There are a variety of computer software programs to aid transportation engineers in the analysis and optimization of signal timing plans. Intersection analysis helps to improve traffic signal operation (reduce delays, queues, and travel times) and reduce vehicle-operating costs (reduce fuel consumption). Arterial signal synchronization is one of the most cost-effective methods for reducing vehicle operating
- 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 521 costs and improving traffic flow performance along urban arterials. Arterial signal optimization models, such as Synchro and TRANSYT-7F, have been developed to assist traffic engineers in coordinating traffic signal settings along urban arterials and around networks. Additionally, limited efforts have been made to use GAs for signal optimization. Paracha (1999) conducted a study optimizing five intersections using Synchro and TRANSYT-7F [5]. For each program,multiplesimulationrunsweremadeusing CORSIM, a stochastic and microscopic simulation program. The simulations of the CORSIM simulation model were used to approximate how the timing plans would work in the real world.Results from the studyshowedthatnosinglesoftware package provided the best solutiontoallofthescenarios.The results indicated that both Synchro and TRANSYT-7F can be used effectively for optimization of signal timings at intersections with approximately equal effectiveness. This study was limited to isolated intersections, and distribution of variability was not considered. Yang (2001) compared SynchroandTRANSYT-7Foptimizationprograms.Thegoalof the study was todeterminewhichpackagecouldbestprovide a timing plan to improve existing traffic performance along an arterial in Lawrence, Kansas. The test site included nine signalized intersections 16,050 feet in length.CORSIMwasto evaluate the effectiveness of the signal timing plans. The study showed that Synchro coordination produced great results. 3. CALCULATE OFFSETS BY ALGEBRIC METHODS Algebraic method determines the bestpublicsignalcycleand offset by seeking the ideal intersection distance whichmatch with the actual intersection distance best, in order to make the t arterial coordinationandcontrolsystemgetthegreatest possible bandwidth and the ideal coordination and control effects [8-9]. The steps are as follows: 1. Determine the initial public signal cycle, 2. Determine the ideal distance between the intersections, 3. Get the best ideal value of the intersection spacing and make sure the best ideal intersection spacing match with the actual distance between the intersections. 4. Determine the best public signal cycle of the final Selection. 5. According to the location relative to the ideal intersection in which the position located, we determine the phase size. 4. METHODOLOGY Step 1: Collecting the information on the intersection. Researchers can record the road width, road properties, signal timing,queuelengthandtimedelaythroughsurveying. And researchers can record the traffic flow in various directions and time segments and save the traffic condition through video recording. Step 2: Inputting the collected road network data into the AutoCAD to establish static network model accurately. Then the researcher can input the proceed flow data, motorcycle type ratio data and signal timing data, and make analysis for those data to determine the rush hour flow. Moreover, researchers can make analysis and calculations for the rush hour traffic characteristic, the remaining capacity and the saturation through determining the nature and the quantity, and then investigate the vehicle correlation non-vehicle correlation and mixing problem by observing the video recording and surveying. Step 3: Determining the scope and time of the simulation. Then through the orthogonal test, researchers compare and calibrate parameters of the intersection with VISSIM simulation. After simulation, the researchers can proofread the simulation results with the signal timing data, vehicle flow data, queue length, delay time and video recording to ensure the precision of simulation, and then find the way to optimize the intersection system. Researcherscandesignthe optimization strategy in geometry optimization and signal timing. Then the researcher can input the proceed flow data, Motorcycle type ratio data and signal timing data, and make architecture with significant reduction in power consumption. Fig -1 The study of this developan onlineadaptiveprioritystrategy system for optimize traffic operation at a series of consecutive grade crossings normally in urban areas. The proposed strategy takes into account the effect on cross- street traffic also. The mathematical model of nonlinear programming with linear constraints can be formulated to reduce overall passenger delays at grade crossings for light rail transit and to minimize the impact on cross-streettraffic. The optimization can be enabled by real-timeor arrival-time predicted by use of GPS-equipped vehicles. It exhibit the recalculated performance of the proposed strategy system, both a numerical analysis and a simulation test are conducted. There are several phases ofoperationinstandard
- 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 522 traffic models. For example, 2-phasesystems, 3- phase systems etc. The Fig. Illustrates the two phases in the 2- phase operation. As it can be seen the 2- phase systems are only suitable forjunctionswithlesspercentageofright turns. Fig -2: Phase 01 Fig -3: Phase 02 5. THE COMBINATION OF VISSIM AND SYNCHRO IN TRAFFIC SIMULATION VISSIM is a discrete, stochastic, time step of microscopic traffic flowsimulationmodel[6].Moreover,VISSIMiscapable to model and analyze the urban traffic operation under various traffic conditions such as road setting, traffic composition, traffic signals, bus stops, etc. VISSIM can simulate directly and vividly the changing conditions of vehicle configuration and road situation. And then evaluate the strategy [7]. Synchro system specially engages in signal timing. It sets the time delay, number of stop and queue length these three indices as thetargetfunction,andconsider the maximum period, minimum period and phase minimum green light timeas the limitation [8]. Synchro isan easily and excellent signal timing optimization software to make up for the trouble of manual calculations [7]. In this paper, micro- simulation software VISSIM and Synchroarecombiningused to simulate and optimize the practical intersection issue which can make up the shortcoming of using software alone. The combination exerts the advantages of VISSIM which can simulate the status and output accurate simulation conclusions and the advantages of Synchro which evaluates the status clearlyand accurately. The combinationmakesthe simulation and optimization simply, conveniently and overcomethe trouble of manual calculations. The evaluation of combination has a strong practical and there is a certain reference for other intersections solving congestion problems. 6. CONCLUSION The intersection is one of the most important parts in traffic network. It is act like the key node in for avoiding traffic congestion so the intersection control study is attracting more and more researcher’s attention. Signal optimizationis very effective techniques for improving intersection level of service and make it more efficient. REFERENCES [1] Zhao Xin-hua., 2010. Optimal design of urban road intersection,. Railway Construction. [2] Yuehui Yang, Yao Lu1, Limin Ji2, Yong Qin, Honghui Dong. 2012. Optimized simulation on the intersection traffic control and organization based on combined application of simulation softwares 24th Chinese Control and Decision Conference (CCDC). [3] Zichuan Li. 2011. Modeling Arterial Signal Optimization with Enhanced Cell Transmission Formulations.Journal of Transportation engg. ASCE. [4] Ilsoo Yun, Byungkyu. 2006 application of stochastic optimization method for an urbancorridor.Proceedings of the 2006 Winter Simulation Conference. [5] Diao Pengdi, Nuerlan Muhan, Wang Zhuo1, Zhang Zundong, Dong Honghui. 2012 IEEE [6] Li Min. 2011" Amendment to TrafficSignal Optimization for Transverse Interference " 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE) [7] Yinfei Li . 2009. 2009 IITA International Conference on Services Science, Management and Engineering. [8] Li Yinfei, Wei Wei, Chen Shuping. 1989. Optimal Traffic Signal Control for an Urban Arterial Road. Second International Symposium on Intelligent Information Technology Application. [9] D.T Dissanayake, S.M.R Senanayake, H.K.D.W.M.M.R Divarathne, B.G.L.T. Samaranayake 2009. Real-Time Dynamic Traffic Light Timing AdaptationAlgorithmand Simulation Software
- 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 523 [10] Guoyuan Wu1 LipingZhang, Wei-bin Zhang, and Masayoshi Tomizuka. 2012. Signal Optimization at Urban Highway Rail Grade Crossings Using an Online Adaptive Priority Strategy. [11] Zhao jun bo,Yang jie and zang hui –ling. 2010 Optimization method of the cycle and critical phase on signal control intersection.. International conferenceon optoelectronics and image processing.