不同信息共享程度下交通拥塞控制研究

信息共享程度是影响交通通行效率的重要条件。分析了信息闭塞、局部信息共享和全局信息共享三种信息共享模式下的交通拥塞现象及其传播特征,并对网络节点行为进行动力学分析,采用概率母函数、分支过程和协调博弈的方法建立了交通拥塞传播模型,解析分析了交通拥塞传播的临界值,比较了不同信息共享模式下的交通拥塞控制策略。仿真实验表明,信息闭塞和局部信息共享下的拥塞控制在交通网络流量较小时更为有效,全局信息共享有利于抑制大规模的拥塞传播,但其可控难度较大。

Traffic congestion control strategy under different information sharing degrees

Information sharing degree is an important factor that affects traffic efficiency, we therefore analyze traffic congestion phenomenon and its characteristics in three information sharing patterns, which are information blocking pattern, local information sharing pattern and global information sharing pattern. We then exploit the dynamic network node behaviors, and build a corresponding traffic congestion propagation model through the method of probability generating function, branching process and coordination game. We finally obtain the critical value of traffic congestion propagation, and make a comparison of traffic congestion control strategy in different information sharing patterns. Simulation results show that when traffic network flow is relatively small, the information blocking pattern and the local information sharing patterns are more effective, while the global information sharing pattern is conducive to controlling large scale congestion though there are more controllable difficulties.