基于交通拥堵预测的交通网络最短路问题的研究  

The Shortest Path Problem in Traffic Network Based on Traffic Jam Forecasting

作　　者：袁二明[1] 李莹[1] 李彪[1] 

机构地区：[1]天津工业大学管理学院,天津300387

出　　处：《中国管理科学》2013年第S1期43-45,共3页Chinese Journal of Management Science

摘　　要：交通拥堵预测在车辆路线选择方面起到了一个指导决策的作用,通过交通拥堵预测,不但能够帮助减轻城市交通压力,同时方便了车辆出行,节省车辆出行费用。本文通过对交通拥堵的预测来修正交通网络中发生拥堵的概率分布,从而得到在交通网络期望费用值最少的最短路线,算例仿真结果表明交通拥堵预测能起到积极作用。Traffic jam forecasting plays a role in the vehicle routing for easing the traffic pressure of the city and saving vehicle travel cost.In this paper,in order to get the shortest path,the probability distribution of traffic in the network congestion based on traffic jam forecasting is modified.Then,simulation reserches are made to verify the models effectiveness and the results show that the proposed method is effective.

关 键 词：交通网络 交通拥堵预测 最短路径 

分 类 号：O211.3[理学—概率论与数理统计] U491[理学—数学]