Dynamic Division about Traffic Control Sub-Area Based on Back Propagation Neural Network
this paper, based on Back Propagation (BP) neural network, proposes a method to divide traffic control sub-area dynamically. Considering three factors — traffic flow, distance of intersections and cycle, it forecasts the coordinatability factor and divides traffic control sub-area. It provides the design of neural network structure, carrying on a simulation experiment with the help of MATLAB which shows that the method is feasible without establishing a precise mathematical model, and the calculation is simple and easy to do.
traffic control sub-area Back Propagation neural network dynamic division coordinatability factor
LI Chungui XIE Ying ZHANG Honglei YAN Xiang-lei
Department of Computer Engineering,Guangxi University of Technology,Liuzhou,China Department of Electronic Information and Control Engineering,Guangxi University of Technology,Liuzho
国际会议
南京
英文
361-364
2010-08-26(万方平台首次上网日期,不代表论文的发表时间)