A Review on Quantitative Models in Railway Rescheduling

This paper draws an overview of various quantitative rescheduling models that have been developed in past research in dealing with delay management of passenger railway services. In general, the quantitative models highlighted aimed to reduce or minimize the service delays experienced by passengers when service disruptions occur. In many literatures observed, the delay management problems are formulated as mathematical and non-mathematical models, which are then tested on real-life data of railway companies worldwide. Local search and exact methods which provide near-optimal and optimal solutions, respectively, are adopted as the solution approaches, with a target of producing short computing time and better quality solution. In this sense, this review paper provides a comprehensive analysis for researchers to enhance the existing rescheduling models or perhaps to adopt a new approach in solving the models developed. This review also suggests the need to minimize service delays for passenger trains due to disruptions, in the context of local railway services.