Collaborative control of traffic signal and variable guiding lane for isolated intersection under connected and automated vehicle environment

2021 ◽  
Author(s):  
Chuan Ding ◽  
Rongjian Dai ◽  
Yue Fan ◽  
Zhao Zhang ◽  
Xinkai Wu
Keyword(s):  
Traffic Signal ◽  
Automated Vehicle ◽  
Collaborative Control ◽  
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.

Sign in / Sign up

Export Citation Format

Share Document