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Connectivity Reliability Research Of Road Network In Large Passenger Hub Station Area

Posted on:2013-02-13Degree:MasterType:Thesis
Country:ChinaCandidate:L YuFull Text:PDF
GTID:2232330371478462Subject:Urban traffic engineering
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Large passenger hub is composed of fixed equipment and active devices connected with one or several external means of transportation and internal transportation mode, completing passenger transit transport and distribution services. It decides adjacent path characteristics of passenger transport network consisting of various passenger transportation means and it is an important link joining external and internal passenger traffic in the city, private traffic and public transport. Large passenger hub is a complex and comprehensive traffic and transportation system and is a transition region connecting passenger hub and city internal transport.Establishment of station area traffic organization is a good way to improve passenger hub station efficiency and to relieve traffic congestion effectively. Traffic operation state is not stable due to not only affection the train departure rule to out-traffic station, but also restriction of network structure of the hub area and distribution of interference of traffic flow related through space-time. So how about large passenger hub station area road network reliability evaluation is a complicated problem.This paper combines the key project "large-scale passenger station operation management and intelligent service technology research"of the Ministry of Railways. So the large passenger hub station area road network connectivity reliability is an issue of subject research. Firstly the paper defines the ranges of hub region and analyses the hub station complex characteristics of regional road network on the basis of domestic and foreign research. Secondly, it discusses network connectivity reliability theory system of the large passenger hub area, including of the network connectivity reliability definition. Network connectivity reliability evaluation index is put forward separately from the view of the hub area road geography (static) and the hub area road transportation network (dynamic). Microscopic traffic simulation technology (TransCAD, MATLAB, VISSIM) reliability evaluation method is used for static and dynamic road network evaluation of road network. So it researches network connectivity reliability key technology of the large passenger hub area under the guidance of reliability theory system. For the static network, the key technology is the key point recognition of connectivity reliability when the network is attacked. It analyses static network node degree, betweenness number, efficacy and vulnerability according to node degree value descending sequence of attack and betweenness number descending sequence of attack.On one hand it validates the network invulnerability, on the other hand, it identifies critical point and analyses connectivity reliability. For the dynamic network, the key technique is the connectivity reliability based on traffic congestion intensity. It put forward comprehensive evaluation model of traffic congestion intensity based on "segment, road, network" three levels of vehicle travel time of the road network using "node, line, plane domain" research methods. It identifies severe congestion of segment in the network and judge the network connectivity reliability through the network dynamic connectivity reliability degree of network. Finally, the paper carries on the example analysis of Beijing South Station Road Network according to the above mentioned network connectivity reliability theory and the reliability evaluation of key technology and draws the conclusion about Beijing South Railway Station Road Network connectivity reliability and puts forward the suggestions of network optimization.There are28figures,27tables and49references in this paper.
Keywords/Search Tags:Large passenger hub area, Connectivity reliability, road geographynetwork static evaluation indexes, road transportation network dynamic evaluationindex, Efficacy, Vulnerability, Traffic congestion intensity, Dynamic connectivityreliability degree
PDF Full Text Request
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