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根据影响危险品道路运输路径选择的风险、经济及时间因素,构建了包含风险、经济及时间的广义运输时间函数。将出行者对路段的广义运行时间预测看作随机过程,对出行路径上节点到达广义时间取期望值,利用一阶近似,建立基于广义时间最短的动态路径选择模型。研究表明,在交通信息可获知条件下,只要给定起讫点对(Origin-Destination,简称OD)中起点的出发时间,就可通过基于广义时间最短的动态路径选择模型求解通过某一路径到达终点的期望时间,而最小期望时间所对应路径即是危险品道路运输动态最短路径。
According to the risk, economic and time factors affecting the choice of road transport routes of dangerous goods, a general transport time function is constructed, which includes risk, economy and time. Considering the traveler’s generalized running time prediction of the road section as a stochastic process, the expectation value of the generalized time when the node arrives in the travel path is taken as a stochastic process. Using the first-order approximation, a dynamic routing model based on the shortest generalized time is established. The research shows that under the condition of knowing the traffic information, as long as the departure time of the starting point in the Origin-Destination (OD) is given, the dynamic path selection model based on the shortest generalized time can be used to solve the problem of reaching the destination through a certain path Of the expected time, and the minimum expected time corresponds to the path is the shortest path of dangerous goods road transport dynamics.