Summary
International Symposium on Nonlinear Theory and Its Applications
2022
Session Number:B3L-B
Session:
Number:B3L-B-03
Traffic Signal Control for a Burgers' Cellular Automaton Traffic Flow Model with Right and Left Turns Based on Particle Swarm Optimization
Tatsuya Kai , Munehiro Sato,
pp.310-310
Publication Date:12/12/2022
Online ISSN:2188-5079
Summary:
The aim of this study is to propose a new systematic traffic signal control method for a burgers cellular automaton traffic flow model with right and left turns. First, the burgers' cellular automaton traffic flow model with right and left turns is constructed by using burgers cellular automaton equations. Next, an optimal traffic signal control problem is formulated, and a new algorithm to solve the problem based on particle swarm optimization. Then, some numerical simulations show that the new control method can reduce the total number of traffic jam the most in the three methods.