Optimal signal timing strategy of the isolated intersection based on cooperative game

2015 ◽  
Author(s):  
Wang Mingyue ◽  
Yin Chenkun
Keyword(s):  
Cooperative Game ◽  
Signal Timing ◽  
Optimal Signal ◽  
Isolated Intersection

Genetic Algorithms Based Traffic Signal Optimization at a Congested Intersection

2012 ◽  
Vol 209-211 ◽  
pp. 814-817 ◽  
Author(s):  
Ping Wang ◽  
Qun Yang
Keyword(s):  
Genetic Algorithms ◽  
Objective Function ◽  
Traffic Signal ◽  
Signal Timing ◽  
Signal Optimization ◽  
Average Delay ◽  
Traffic Signal Timing ◽  
Optimal Signal ◽  
Isolated Intersection

The objective of this paper is to investigate genetic algorithms (GA) on traffic signal timing at a congested isolated intersection. The objective function for GA modeling was established on the strategy of minimizing average delay and GA was applied to search for the optimal signal timing. Then microsimulation is used to compare the optimized timings produced by the GA with those obtained for the same intersection using Synchro. Results indicated that applying GA results in lower values of average delay and average number of stops in congested condition than applying Synchro.

Adequacy of TRANSYT-7F and Synchro models along a major arterial in Saudi Arabia

2009 ◽  
Vol 36 (1) ◽  
pp. 95-102 ◽  
Author(s):  
Nedal T. Ratrout ◽  
Maen Abdullatif Abu Olba
Keyword(s):  
Saudi Arabia ◽  
Queue Length ◽  
Optimal Timing ◽  
Signal Timing ◽  
Calibration Process ◽  
Traffic Conditions ◽  
Platoon Dispersion ◽  
Queue Lengths ◽  
The City ◽  
Optimal Signal

The TRANSYT-7F and Synchro models are used in developing optimal timing plans in the city of Al-Khobar, Saudi Arabia. This paper evaluates the adequacy of both TRANSYT-7F and Synchro under local traffic conditions by comparing queue lengths observed along a major arterial in the study area with simulated queues. The models were then calibrated to produce simulated queue lengths which are as close as possible to the observed ones. A clear difference was found between queue lengths estimated by Synchro and TRANSYT-7F. A queue length calibration process was accomplished for TRANSYT-7F by using platoon dispersion factor values of 20 and 35 for through and left-turning traffic, respectively. Synchro calibration was unsatisfactory. The simulated queue lengths could not be calibrated in a meaningful way to resemble the observed queue lengths. Regardless of this, both models produced comparable optimal signal timing plans.

Dynamic User Optimal of Traffic Assignment Based on Optimal Signal Timing

2014 ◽  
Vol 587-589 ◽  
pp. 2040-2044
Author(s):  
Lu Zhang
Keyword(s):  
Variational Inequality ◽  
Network Performance ◽  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Equivalent Model ◽  
Signal Timing ◽  
Optimal Model ◽  
Dynamic Traffic ◽  
The Relationship ◽  
Optimal Signal

At the beginning the paper summarizes the research status,models and algorithms of dynamic traffic assignment and analyzes the relationship between dynamic user optimal model and variational inequality.Secondly,a dynamic user optimal model of traffic assignment based on optimal signal timing is established,equivalent model of the variational inequality is built at the same time.Finally,we discuss the superiority of the model and apply this model to a simple example,the results show that the model can improve the network performance significantly.

Multimodal Microsimulation of Vehicle and Pedestrian Signal Timings

2005 ◽  
Vol 1939 (1) ◽  
pp. 107-114 ◽  
Author(s):  
Muhammad M. Ishaque ◽  
Robert B. Noland
Keyword(s):  
Time Delay ◽  
Cycle Length ◽  
Relative Proportion ◽  
Fixed Time ◽  
The Other ◽  
Signal Timing ◽  
Microsimulation Model ◽  
Data Output ◽  
Travel Delay ◽  
Optimal Signal

A simple hypothetical network is analyzed with a microsimulation model to study the effects of signal cycle timings on the delay caused to both vehicles and pedestrians. Various vehicle types and pedestrians are introduced into the network, and their complete journeys are captured in the data output. Fixed-time noncoordinated signal cycles are defined at controlled junctions. Vehicle flows and signal cycle durations are varied while the other parameters, including pedestrian green phase timings, are held constant. Travel time delay information is disaggregated for vehicles and pedestrians for different signal timing scenarios. The results show that no single signal cycle timing can optimize the network delay for all types of flows. However, if the objective is to minimize the travel delay for all travelers, it is possible to find the optimal signal cycle length on the basis of the relative proportion of people using different modes.

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