Research On Flow Routing Cost Model Of Urban Rail Transit Hub

Urban railway transit is the important solution way of urban traffic problem, and as a part of regional integration traffic network it has made fast development in recent years. Within the urban railway transit the city passenger flow could carry out the gathering, distribution and change quickly, improve the efficiency and service level of the urban traffic network. But because of the rapid growth of traffic demand in urban railway transit,and the the shortcomings design of hub channel, stair, node and other infrastructure, it appears that the flow route become disorder and the distance of traffic change is too long in the urban railway tansit hub, such phenomenon impact the hub’s operation efficiency. So research on the adaptability between pedestrians’ dynamic behavior characteristics and hub facilities, to conclude the pedestrian behavior rules within the hub, according to the research result to optimize the flow routing would get benefit in shorten the travel time of pedestrian and improving operation efficiency of the hub.This paper takes the flow routing cost of urban rail transit hub as the research object, s, and study the time that pedestrians need to pass through the different hub facilities whichbased on the characteristic of pedestrians’behavior in hub.The essay define the time that pedestrians pass through the channel, walking stairs, escalator and such facilities as section cost, the time that pedestrians pass through the channel crossing and passenger distributing centers as node cost. According to the features of pedestrian walking in the hub the paper set up the sections cost model and the node cost model.The main works of the thesis as follows:(1) This paper analysis the advantages and the adaptability of the urban railway tansit hub investigation, and use the method of manual following survey to make a traffic survey of BeiJing Xizhimen subway station, then set up the hub pesdestrians section cost model according to the survey results which is based on BPR function.(2) This paper analyzes the characteristic of pedestrian micro-simulation model, and select Anylogic which is based on Social Force Model to do the simulation. Then use statistical principle to summarize the pedestrian macro traffic characteristics through a mount of simulation of pedestrian behavior. Then classify the hub node into there kinds and seven types according to the different traffic organization of the node, simulate every single node respectively to get the rules of the traffic capacity,node delay and walking time.Then set up the node cost model based on factors mentioned before. (3)The paper apply the section cost model and node cost model into urban railway tansit hub pedestrian flow optimization model, and take the example of one city subway transfer station to verify the cost model is porper.