Abstract
This paper proposes two algorithms for signal timing optimization of single intersections, namely, microbial genetic algorithm and simulated annealing algorithm. The basis of the optimization of these two algorithms is the original timing scheme of the SCATS, and the optimized parameters are the average delay of vehicles and the capacity. Experiments verify that these two algorithms are, respectively, improved by 67.47% and 46.88%, based on the original timing scheme.
Highlights
In order to solve the current traffic problem more effectively, this paper proposes a single intersection signal control method. e traffic signal control of a single intersection is the smallest unit of the entire city traffic signal control system
With the continuous deepening of the concept of sustainable development of urban transportation, the goal of traffic signal control is gradually changing from a single goal to multiple goals. erefore, the multiobjective joint optimization of traffic signal control has attracted researchers’ attention
Heydecker and Wey used the average delay of motor vehicle flow at the intersection as the optimization target of signal control parameters [5, 6]
Summary
In order to solve the current traffic problem more effectively, this paper proposes a single intersection signal control method. e traffic signal control of a single intersection is the smallest unit of the entire city traffic signal control system. Taking the average delay of motor vehicle flow, average parking rate, and pedestrian waiting time as optimization goals, Ma et al established a multiobjective optimization model for the period duration of a single intersection with fixed period signal control [11]. Taking the average delay of motor vehicle flow, the average number of stops, and the total passing traffic as the optimization goals, Cao and Xu established a weighted combination optimization model of signal control parameters for single intersection with saturation constraints and solved the model using genetic algorithm [13]. E calculation of the average vehicle delay D0 and the initial intersection capacity B0 is similar to that of Di and Bi, but there is a difference in calculating the period and the green ratio; C0 and λi0 use the calculation method of timing period, and the calculation formula is as follows: 1.5L + 5. (3) e target value is (α D/D0) − (βB/B0); we hope the expected target value in this article is as small as possible; the ultimate goal is to get a value, so when the objective function can take the minimum value, what are the values of the corresponding 4 decision variables?
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
