Tran, Cong Quoc (University of Canterbury), Jiang, Shang (University of Canterbury), Keyvan-Ekbatani, Mehdi (University of Canterbury)

Dial-A-Ride Problem Considering Urban Traffic Dynamics in Multi-Reservoir Systems

Scheduled for presentation during the Regular Session "Traffic Theory for ITS" (FrBT12), Friday, September 27, 2024, 13:30−13:50, Salon 20

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on December 26, 2024

Abstract

Although on-demand mobility services can provide more efficient and sustainable door-to-door transport options, they typically face challenges due to the complexity of incorporating traffic conditions and stakeholders' involvement in the decision-making process, particularly under dynamic traffic settings. This study proposes a multi-reservoir framework to maximize the overall profit of the dynamic dial-a-ride (DAR) problem while considering the dynamic nature of traffic conditions, real-time passenger requests and their sharing preferences. A dynamic DAR algorithm is developed and evaluated numerically through a case study, considering specific traffic scenarios. Numerical results demonstrate the practical applicability and operational efficiency of the proposed system. Managerial insights and potential research directions are also provided.