Non-myopic Pathfinding for Shared-Ride Vehicles: A Bi-Criteria Best-Path Approach Considering Travel Time and Proximity to Demand [Research Brief]

Abstract

USDOT Grant 69A3551747109Caltrans contract 65A06The overarching goal of this research project is to improve the operational efficiency of shared-ride mobility-on-demand services (SRMoDS) like UberPool and Lyft Line, in order to increase vehicle occupancies and decrease vehicle mileage. To meet this goal, the objective of this study is to develop a network pathfinding algorithm that considers both a network path\u2019s travel time and its proximity to potential future demand (i.e., travel requests), as opposed to a conventional shortest path algorithm that solely considers travel time

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