A review of passenger-oriented railway rescheduling approaches

Abstract

Railway operations are highly susceptible to delays and disruptions caused by various factors, such as technical issues, operational inefficiencies, and unforeseen events. To counter these delays and ensure efficient railway operations during real-time management, several rescheduling approaches can be implemented. Among these approaches, passenger-oriented rescheduling considers train rescheduling while taking passenger data into account, as opposed to operation-oriented rescheduling. This paper provides an overview of the former group of approaches. Particular focus is put on different ways passenger data is exploited to optimize rescheduling and on the measures, the approaches can decide on. The rescheduling measures typically considered vary from decisions on maintaining transfers, canceling trains, adding emergency trains, changing routes and orders of trains, skipping or adding stops at stations, short-turning trains, applying speed control, and modifying rolling stock compositions. In this regard, the paper presents a comprehensive analysis of real-time rescheduling approaches adopted in both the conventional railway and urban rail transit and points out possible directions for further research in the field.

Bus Rescheduling for Long-Term Benefits: An Integrated Model Focusing on Service Capability and Regularity

“…Gkiotsalitis [3,22] raised the idea that service regularity is directly related to the excessive waiting times of passengers. Accordingly, researchers [23,24] have built models considering passenger delays and waiting times. Moreover, Long [25] took the maximum train-loading rate into account.…”

“…The heuristic operator is designed as the difference between the rescheduled service frequency and the baseline, as shown in Equation (24). Service frequency is characterized by trip departure intervals, with the original average value during the corresponding time periods, denoted as hl , serving as the baseline.…”