Abstract:

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.

Key words: traffic congestion, information sharing, probability generating function, branching process, coordination game