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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Signaling Control and Timetable Planning for MRT Systems

Sun, Kuo-Hua 10 July 2006 (has links)
Automatic Train Control(ATC) of Signaling System for a Metro Systems comprise Automatic Train Supervision(ATS), Automatic Train Protection(ATP) and Automatic Train Operation(ATO). Based on theAutomatic Train Control(ATC) of Signaling System for a Metro Systems comprise Automatic Train Supervision(ATS), Automatic Train Protection(ATP) and Automatic Train Operation(ATO). Based on the Signaling Control System of Kaohsiung Mass Rapid Transit System(KMRT),the relationship of ATO propulsion power consumption and the run time between stations of train sets under the constraint of Automatic Train Protection(ATP) is investigated. By integrating the ATC function for the planning of timetable, the optimal timetable can be established. ATO solves the speed command for train sets operation by considering the propulsion system, track alignment and the operating timetable to achieve the efficiency of energy consumption by applying the operation modes of Cruising and Coasting to derive the speed profiles of train sets. Because of the correlationship of ATP, ATO and Operation Timetable of train sets, the ATP system is investigated first to ensure the safety of system operation. Based on the constraint of ATP, the energy conservation of train sets with ATO system is simulated. The optimal timetable is then derived by minimizing the objective function, which consists of the costs of train sets, driver¡¦s manpower and the simulated energy consumption. The Genetic Algorithm (GA) is applied to solve the optimal timetable by representing the Run Time Reserve and Loading Factor of train sets as the chromosomes. With the mutation of GA method, the global optimal solution can be obtained without falling into the local optimum. It is concluded that the optimal operation timetable solved by the proposed GA method can enhance the system performance of KMRT systems by reducing the operation cost of train sets.

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