A Probabilistic Approach for Demand-Aware Ride-Sharing Optimization
Refereed conference paper presented and published in conference proceedings

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AbstractRide-sharing is a modern urban-mobility paradigm with tremendous potential in reducing congestion and pollution. Demand-aware design is a promising avenue for addressing a critical challenge in ride-sharing systems, namely joint optimization of request-vehicle assignment and routing for a fleet of vehicles. In this paper, we develop a probabilistic demand-aware framework to tackle the challenge. We focus on maximizing the expected number of passenger pickups, given the probability distributions of future demands. The key idea of our approach is to assign requests to vehicles in a probabilistic manner. It differentiates our work from existing ones and allows us to explore a richer design space to tackle the request-vehicle assignment puzzle with a performance guarantee but still keeping the final solution practically implementable. The optimization problem is non-convex, combinatorial, and NP-hard in nature. As a key contribution, we explore the problem structure and propose an elegant approximation of the objective function to develop a dual-subgradient heuristic. We characterize a condition under which the heuristic generates a (1 − 1/e) approximation solution. Our solution is simple and scalable, amendable for practical implementation. Results of numerical experiments based on real-world traces in Manhattan show that, as compared to a conventional demand-oblivious scheme, our demand-aware solution improves the passenger pickups by up to 46%. The results also show that joint optimization at the fleet level leads to 19% more pickups than that by separate optimizations at individual vehicles.
All Author(s) ListQiulin Lin, Wenjie Xu, Minghua Chen, Xiaojun Lin
Name of Conference20th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2019
Start Date of Conference02/07/2019
End Date of Conference05/07/2019
Place of ConferenceCatania, Italy
Country/Region of ConferenceItaly
Proceedings TitleProceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
Pages141 - 150
LanguagesEnglish-United Kingdom

Last updated on 2020-27-01 at 00:49