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Traffic Uncertainty in On-Demand High-Capacity Ride-Pooling

Abstract : On-demand ride-pooling has been studied frequently in recent literature. However, real-world applications of large-scale ride-pooling systems are rare and the breakthrough of comprehensive systems is yet to come. In this study, we simulate a ride-pooling service based on real-world demand data from Hamburg, Germany and evaluate the impact of traffic uncertainty on the system performance using a state-of-the-art ride-pooling algorithm. We propose strategies to remedy customer constraint violations on wait and travel times due to wrongly estimated travel times. We show that uncertainty leads to a trade-off between violating customer constraints and rejecting requests after prior acceptance.
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Contributor : Sebastian Hörl Connect in order to contact the contributor
Submitted on : Wednesday, October 27, 2021 - 12:46:27 PM
Last modification on : Tuesday, October 18, 2022 - 8:34:05 AM
Long-term archiving on: : Friday, January 28, 2022 - 6:54:51 PM


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  • HAL Id : hal-03405574, version 1



Sebastian Hörl, Felix Zwick. Traffic Uncertainty in On-Demand High-Capacity Ride-Pooling. 101st Annual Meeting of the Transportation Research Board (TRB), Jan 2022, Washington D.C., United States. ⟨hal-03405574⟩



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