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

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 traff...

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Bibliographic Details
Published inProceedings (IEEE Conference on Intelligent Transportation Systems) pp. 4264 - 4269
Main Authors Tran, Cong Quoc, Jiang, Shang, Keyvan-Ekbatani, Mehdi
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.09.2024
Subjects
Decision making
Heuristic algorithms
Meteorology
Optimization
Partitioning algorithms
Real-time systems
Resilience
Stakeholders
Systems operation
Urban areas
Online AccessGet full text
ISSN2153-0017
DOI10.1109/ITSC58415.2024.10920093

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Summary: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 frame-work 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.
ISSN:2153-0017
DOI:10.1109/ITSC58415.2024.10920093