Abstract

In recent years, the problem of urban traffic congestion has become increasingly prominent. In this study, an intelligent traffic signal model based on open source road traffic information was proposed. We used real-time traffic data provided by Gaode open platform to model urban traffic congestion of direction road segments, single intersections and adjacent multiple intersections. And based on these models and fuzzy control theories, the intelligent signal cycle model and intelligent signal timing model was established. The simulation results of Vissim software show that the model is superior to the fixed-time signal control system, the effect in the severe congestion period is better than the general congestion period, and the maximum can shorten the road network queue time by 29.99%. This research will help ease urban traffic congestion and can be applied to heavily congested cities.

摘要

近年来，城市交通拥堵问题日益突出。本研究提出了一种基于开源道路交通信息的智能交通信号模型。我们利用高德开放平台提供的实时交通数据，对方向路段、单个交叉口和相邻多个交叉口的城市交通拥堵进行建模。并基于这些模型和模糊控制理论，建立了智能信号周期模型和智能信号时序模型。Vissim软件仿真结果表明，该模型优于定时信号控制系统，在严重拥堵时段的效果优于一般拥堵时段，最大可缩短路网排队时间29.99%。