Advances in Production Engineering & Management
Volume 19 | Number 2 | June 2024 | pp 268–280
https://doi.org/10.14743/apem2024.2.506
Simulation analysis of dual-end queuing ride-hailing system considering driver-side queue management
Tang, M.C.; Cao, J.; Gong, D.Q.; Xue, G.; Khoa, B.T.
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A B S T R A C T
Ride-hailing services have transformed urban transportation through convenience yet introduced new complexities around efficiency and traffic management. This study investigates the dual-queuing problem in ride-hailing from the driver perspective using a multi-agent simulation approach. The focus is dissecting the dynamics between driver search times and passenger wait times, which critically influence operational efficiency especially during peak demand. Exploring these interactions aims to uncover insights that could improve service efficiency and customer satisfaction. Addressing such ride-hailing challenges is vital not just for individual providers but also for advancing sustainable mobility across rapidly growing metropolitan regions. Enhanced efficiency connects to broader urban development narratives around livability, accessibility, and responsible mobility ecosystems.
A R T I C L E I N F O
Keywords • Dual-end queuing; Multi-agent simulation; System operational efficiency; Cumulative passenger count
Corresponding author • Tang, M.C.
Article history • Received 21 December 2023, Revised 2 June 2024, Accepted 12 June 2024
Published on-line • 29 August 2024
E X P O R T C I T A T I O N
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