The Research Of Carrying Capacity And Reliability Of Passenger Dedicated Line Network

ABSTRACT:With the rapid development of market economy in our country, the acceleration of population urbanization process, the improvement of people’s living standard, the enhance of time value conception, the desire to shorten travel time and to improve service quality is growing. Passenger dedicate line (PDL) receiving more and more attention because of its advantage of high speed, large volume, comfortable, small occupation, low energy consumption, reliability, good socio-economic benefits. In our country "four vertical and four horizontal" high-speed railway passenger transport network is planned to satisfy people’s growing desire of service quality. With the building of PDL network, this will be the backbone network in passenger railway transport.PDL network carrying capacity is a research method of the network capacity, which comprehensively considers the network structure, traffic demand and service level. It calculates and evaluates the transport network capacity and transport network resources capacity utilization based on traffic service level. It will not only be a useful addition to theory of PDL network capacity, but also make the use of traffic network resources reasonable and efficiency and provide high service quality to railway passengers. The main work and conclusion of the dissertation:(1) According the shortcomings of previous studies lack condition service level, the concept of PDL network carrying capacity is proposed, which take into account network service level and transportation resource capacity. Previous studies are reviewed, and capacity of through train traffic, traffic network transport capacity, transportation network reliability is introduced based on relationship with PDL network carrying capacity. The research method of road earring capacity is introduced, reserve capacity model and network zones reserve capacity model are introduce, whose merits and demerits are compared to determine the latter model in our research.(2) According to the characteristics of PDL network, carrying capacity model based on physical network is proposed with the improvement of the road carrying capacity model, a heuristic algorithm containing two-stage algorithm is designed to solve the problem. OD asymmetric mode and OD symmetric mode are proposed based on different choice of Origin-Destination. Example indicate:when the service level is optimal the network coefficient of reserve capacity is1.63, when the service level is worst the network coefficient of reserve capacity is2.1in OD asymmetric mode; when the service level is optimal the coefficient of network reserve capacity is1.22, when the service level is worst the coefficient of network reserve capacity is1.72in OD symmetric mode. Parameters sensitivity is researched, the result show that:with the point attraction increasing, the maximum multiplying factor decline, the difference of passenger volume between different rating point increase, some arc capacity use ratio increase; with the crowed parameters increasing, the maximum multiplying factor increases firstly and then decreases, the crowed parameters are selected which make the the maximum multiplying factor largest.(3) Network carrying capacity model based on train plan is proposed after the research of carrying capacity based on physical network. The train plan optimize model is proposed, whose initial plan is obtained based on according to passenger volume and alternate route collection, optimize plan is obtained using simulated annealing algorithm. Network carrying capacity model based on train plan is proposed according to optimize train plan, a heuristic algorithm containing two-stage algorithm is designed to solve the problem. OD asymmetric train plan and OD symmetric train plan are generated according to the maximum passenger need in chapter4. OD asymmetric train plan has127different kinds of high and middle class trains. OD symmetric train plan has68different kinds of high and middle class trains. Example indicate:when the service level is better the network coefficient of reserve capacity is1.52, when the service level is worst the network coefficient of reserve capacity is2.42in OD asymmetric mode; when the service level is better the network coefficient of reserve capacity is1.3, when the service level is worst the network coefficient of reserve capacity is1.95in OD symmetric mode.(4) According to features of network state random fluctuation, network carrying capacity reliability is researched based on the Monte-Carlo simulation system containing carrying capacity models. Reliability research contains:network capacity volume reliability with service arc capacity deterioration, passenger demand structure fluctuation; service level reliability with passenger demand structure fluctuation and arc capacity deterioration. The results show that:network capacity volume reliability decrease with coefficient of reserve capacity μincrease, network stability increase with coefficient of service level ρ increase.