【摘要】 宏观基本图是道路网络的基本属性,能够直观、准确地反映交通状态变化规律.以路网宏观基本图为基础,结合马尔科夫链模型,提出路网交通拥堵状态判断方法,该方法可根据检测到的路网内车辆数快速甄别交通拥堵状态,对拥堵状态等级临界点附近范围的拥堵甄别结合马尔科夫链模型,提高了判断的精确性.案例分析表明,该方法可行,且具有较好的可靠性.更多还原

【Abstract】 The Macroscopic Fundamental Diagram(MFD)is the essential attribute of the road network,which can reflect the changing law of traffic state intuitively and accurately.A method of network traffic congestion discrimination was proposed based on macroscopic fundamental diagram and Markov chain model.This method can quickly identify the traffic congestion state based on the number of vehicles detected in the road network.And the method of combining the Markov chain model to discriminate scale in the vicinity of the critical point can greatly improves the accuracy of judgment.The case study shows that the method is feasible and has good reliability.更多还原