基于马尔科夫的动态交通流演化模型及应用

以实时控制和诱导为目的的短时交通流预测作为研究分析对象,构造出刻画随机用户平衡演化过程的基于马尔科夫过程的动态,分析了它的稳定性,并给出一个算例进一步验证了其稳定性.将马尔科夫链引入到交通流演化动态中,通过简单的算例,对道路中的交通流进行分析和预测,进而对车辆进行诱导,从而达到交通管理的目的.

Modeling of dynamic traffic flow evolution based on Markov chain and its application

Taking the short-term traffic flow prediction with real-time traffic control and route guidance as the research object,the stochastic user equilibrium dynamic state is constructed based on the Markov process.Then its stability is analyzed;and an example is given to verify the stability.Markov chain is introduced to the traffic evolution dynamics,in which the choice probability meets Markov chain.We construct a Markov process of evolutionary dynamic,which is short-term traffic flow forecasting in real-time control.