No abstract

Nowadays, an express/local mode has be studied and applied in the operation of urban rail transit, and it has been proved to be beneficial for the long-distance travel. The optimization of train patterns and timetables is vital in the application of the express/local mode. The former one has been widely discussed in the various existing works, while the study on the timetable optimization is limited. In this study, a timetable optimization model is proposed by minimizing the total passenger waiting time at platforms. Further, a genetic algorithm is used to solve the minimization problems in the model. This study uses the data collected from Guangzhou Metro Line 14 and finds that the total passenger waiting time at platforms is reduced by 9.3%. The results indicate that the proposed model can reduce the passenger waiting time and improve passenger service compared with the traditional timetable.

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With the urban rail network tends to be more complex, the contradiction between capacity and passenger demand becomes more prominent. To address this problem, this paper constructs a comprehensive evaluation method for train capacity delivery scheme, which can quantitatively analyze the matching relationship between capacity and passenger demand. It can provide guidance for the development of operation plans. The evaluation indices are selected from three aspects: operation, service, and enterprise cost, among which the operation indices are selected considering the characteristics of section, route, and line network respectively. Combined with the ordering relation analysis method (G1) and the anti-entropy weight method (anti-EWM), a comprehensive evaluation model from the perspective of subjective and objective is developed, the model can reasonably allocate capacity under limited conditions and alleviate the contradictory relationship between passenger demand and capacity. In addition, the model can improve the operation level and the service quality. Furtherly, the comprehensive scoring of Nanjing Metro Network is conducted with better evaluation effect, which can provide reference for the selection of capacity delivery.