Multiperiod Transfer Synchronization for Cross-Platform Transfer in an Urban Rail Transit System

Abstract

Transfer synchronization is an important issue in timetable scheduling for an urban rail transit system, especially a cross-platform transfer. In this paper, we aim to optimize the performance of transfer throughout the daily operation of an urban rail transit system. The daily operation is divided into multiple time periods and each time period has a specific headway to fulfill time varied passenger demand. At the same time, the turn-back process of trains should also be considered for a real operation. Therefore, our work enhances the base of the transfer synchronization model taking into account time-dependent passenger demand and utilization of trains. A mixed integer programming model is developed to obtain an optimal timetable, providing a smooth transfer for cross-transfer platform and minimizing the transfer waiting time for all transfer passengers from different directions with consideration of timetable symmetry. By adjusting the departure time of trains based on a predetermined timetable, this transfer optimization model is solved through a genetic algorithm. The proposed model and algorithm are utilized for a real transfer problem in Beijing and the results demonstrate a significant reduction in transfer waiting time.

Big Data Analysis for Travel Time Characterization in Public Transportation Systems

“…To improve the data analysis process, future work could consider data from different periods and process larger amounts of historical data to identify patterns. The application of estimated travel times and metrics presents several areas for future work, such as synchronization of timetables and transfers [33,46,47], bus network analysis and redesign [48,49], developing plans for sustainable mobility plans [50,51], multi-objective optimization of transportation processes [52,53], public transportation and health issues [54], and computing accessibility indicators for opportunities in the city using public transportation [55]. Overall, our future work around the proposed model will aim to enhance its usefulness in solving relevant issues in public transportation while improving its accuracy and efficiency.…”

Optimization of Train Timetables in High-Speed Railway Corridors Considering Passenger Departure Time and Price Preferences

“…To reduce the transfer time between two different trains, certain scholars [33], [34], [35] researched the transfer passenger flow problems in terms of the optimization of the train timetable. For example, considering the transfer synchronization problem, Cao et al [36] developed a mixed integer programming model with the objective of the optimal timetable to minimize all transferring passengers' transfer waiting time. Jiang et al [37] propose optimizing intercity high-speed railway (IHSR) timetables based on the dynamic passenger demand.…”

Time Coordination of Periodic Passenger Train Connections in Conditions of Single-Track Lines

“…Functionality and effectiveness of the approach are validated on a real network serviced by seven lines, which included three transfer hubs. e potential of genetic algorithms is also utilized in publication [27]. e article explores a proposal of an optimization approach for the public transport system with variable demand during the planned period.…”