ITSC 2024 Paper Abstract

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Paper FrBT12.1

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 October 14, 2024

Keywords Traffic Theory for ITS, Theory and Models for Optimization and Control, Ride Matching and Reservation

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.

 

 

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