Customized bus service design for uncertain commuting travel demand

Xueping Dou · Qiang Meng · Kai Liu

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Transportation Planning and Optimization Vehicle Routing Optimization Methods Transportation and Mobility Innovations

Abstract

This study proposes an interesting customized bus service design problem by considering travel demand uncertainty. Given a fleet of heterogeneous vehicles, a mixed integer linear programming (MILP) model is put forward for the complex decision making on bus routing, timetabling and bus deployment, with the objective of generating a set of profitable bus services to cater for diverse commuting-trip requests. To capture the risk-averse level of the bus operator in uncertain travel demand environment, a random variable describing the likelihood that the offered bus services are rejected by potential passengers and two associated control parameters are embedded in the MILP model, facilitating an adjustable robust optimization framework. A branch-and-price method is implemented to solve the model exactly. A column-generation-based heuristic method is proposed to solve large-scale problems. The effectiveness of both the exact and heuristic methods is assessed in numerical experiments.

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References

2015Analysis of a new public-transport-service concept: Customized bus in China 2017Customized bus service design for jointly optimizing passenger-to-vehicle assignment and vehicle routing 2014Transit route and frequency design: Bi-level modeling and hybrid artificial bee colony algorithm approach 2019A two-phase optimization model for the demand-responsive customized bus network design 2016Transit passengers’ behavioural intentions: the influence of service quality and customer satisfaction 2019CB-Planner: A bus line planning framework for customized bus systems 2018Multimodal transit network design in a hub-and-spoke network framework 2018Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus

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