A Kriging-based optimization method for meeting point locations to enhance flex-route transit services
Document Type
Journal Article
Publication Date
2023
Subject Area
operations - performance, operations - reliability, ridership - demand, mode - demand responsive transit
Keywords
On-demand transportation, flex-route transit service, meeting point locations, Kriging-based global optimization method
Abstract
As a promising on-demand transportation mode in low-demand areas, flex-route transit, has attracted much attention in the transportation research field. However, unexpectedly high demand levels caused by travel uncertainty impact the reliability and development of flex-route transit services. Although the meeting point strategy can deal with this problem effectively, selecting a location for the meeting points can substantially influence the performance of this strategy. In this study, meeting point location selection is modeled as a simulation-based optimization (SO) problem, and a Kriging-based global optimization method using a Pareto-based multipoint sampling strategy (KGO-PS) is proposed to solve this problem. Through comparison of several typical benchmark functions with other counterparts, the effectiveness of KGO-PS has been verified. Moreover, a real-life flex-route transit service is employed to construct the SO problem, and the optimization results show that the proposed algorithm can improve the performance of flex-route transit services under unexpectedly high demand levels.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Li, M., Tang, J., Zeng, J., & Huang, H. (2023). A Kriging-based optimization method for meeting point locations to enhance flex-route transit services. Transportmetrica B: Transport Dynamics, 11(1), 1281-1310.
