摘要
交通拥挤严重影响了道路交通的安全性和运行效率,如何对交通拥挤状态进行判别,并预测下一时刻交通状态的变化趋势,是提高交通管理水平的一个关键。利用马尔可夫链建立了交通状态预测模型,实例表明该模型对短期交通状态预测具有良好的适用性。
Traffic congestion seriously affects the safety and efficiency of road transportation system.How to distinguish the current state and predict next time condition is a key factor in improving the level of transportation management.Based on Markov chain model,a new prediction model of traffic congestion state is proposed.In the end,a case is carried out,and the results indicate that the proposed model is effective and applicable for short time prediction.
出处
《交通标准化》
2012年第22期76-79,共4页
Communications Standardization
基金
福建省教育厅科技项目(JB10126)
关键词
交通状态
马尔可夫链
交通拥挤
预测
traffic state
Markov chain
traffic congestion
prediction
