Research on target reduction methods of headway and effect analysis for CBTC system of urban rail transit
Xun Liu
Abstract
Xun Liu
Abstract
Reduction of the minimum operation interval is one of the key means to solve the shortage of the line operation capacity and improve ride comfort of urban rail transit. For headway of large passenger flow stations that restricts the reduction of the minimum operation interval, it is difficult to reduce the long dwell time. If change the station wiring or station location, it is faced with such problems as high cost of transformation, long period of transformation and great difficulty of transformation. Therefore, this paper aims at target reduction of headway, adjustment and implement accurately and easily for CBTC system of urban rail transit and proposes two target reduction of headway methods based on the analyses of relevant train operation profile. Two methods can not only be realized through ATS function operation, but also control the adjustment measures in small line section. The simulation results show that both methods can effectively reduce the headway. Compared with the method two, the method one has better headway reduction effect, less impact on the running time between stations and can increase the flexible adjustment space for operation management.
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Reduction of the minimum operation interval is one of the key means to solve the shortage of the line operation capacity and improve ride comfort of urban rail transit. For headway of large passenger flow stations that restricts the reduction of the minimum operation interval, it is difficult to reduce the long dwell time. If change the station wiring or station location, it is faced with such problems as high cost of transformation, long period of transformation and great difficulty of transformation. Therefore, this paper aims at target reduction of headway, adjustment and implement accurately and easily for CBTC system of urban rail transit and proposes two target reduction of headway methods based on the analyses of relevant train operation profile. Two methods can not only be realized through ATS function operation, but also control the adjustment measures in small line section. The simulation results show that both methods can effectively reduce the headway. Compared with the method two, the method one has better headway reduction effect, less impact on the running time between stations and can increase the flexible adjustment space for operation management.
Key concepts: Headway, Urban rail transit, Reduction (mathematics), Dwell time, Computer science, Economic shortage, Transformation (genetics), Interval (graph theory)