交通运输工程与信息学报2018，Vol.16Issue(1)：49-55,60,8.DOI:10.3969/j.issn.1672-4747.2018.01.008
基于模拟退火的交叉口自适应信号控制优化研究
Optimization of Adaptive Signal Control Using Simulated Annealing
Algorithm
曹阳1
作者信息
- 1. 西南交通大学,交通运输与物流学院,成都610031
- 折叠
摘要
Abstract
A simulated annealing-based signal timing method is proposed for adaptive signal control in the connected vehicle environment. This method takes the average intersection delay as the model objective and uses neural network for short-term traffic flow forecast. Via the COM development interface of VISSIM traffic simulation, the authors test the proposed signal control method using the measured traffic flow data of an intersection in Chengdu, China. Simulation results show that the proposed method can significantly improve the intersection traffic throughput. The testing results are compared to the ones obtained using genetic algorithm and it is found that the simulated annealing algorithm is better. The average delays in three testing periods reduce by 15.61s/veh, 0.47s/veh, and 8.53s/veh, respectively. The average numbers of stops also decrease by 0.59 times/veh, 0.04 times/veh, and 0.27 times/veh. The experiment results proves the effectiveness of the method.关键词
信号控制/神经网络/模拟退火算法/平均延误Key words
adaptive signal control/neural network/simulated annealing/average intersection delay分类
交通工程引用本文复制引用
曹阳..基于模拟退火的交叉口自适应信号控制优化研究[J].交通运输工程与信息学报,2018,16(1):49-55,60,8.
