2019 Scientific Conference on Network, Power Systems and Computing
A pricing strategy for sharing autonomous vehicle system
Ming Li, Xiang Huo
Autonomous vehicles (AVs) are regarded as a promising transportation tool of future that provides increased traffic mobility, enhanced customer satisfaction and reduced infrastructure costs. Since AVs follow completely the system directions, it is possible to further optimize the itineraries for an even higher efficiency than transportation system with traditional vehicles. In managing the system, dispatching the SAVs and controlling the total car number are the primary concerns. A pricing strategy should also be considered for promoting passengers’ adoption of the shared autonomous transportation. To this end, a set-covering based model is proposed to link charging fares and vehicle-and-passenger assignment. For the NP-hard problem in searching for feasible routes, a column generation based algorithm is introduced. At last, the effectiveness of the heuristics algorithm is tested by a numerical example, and the sensitivity of parameters are also analyzed.
Shared autonomous vehicle, ride-sharing, pricing
Cite this paper:
Ming Li, Xiang Huo, A pricing strategy for sharing autonomous vehicle system. 2019 Scientific Conference on Network, Power Systems and Computing (NPSC 2019), 2019: 119-122. DOI: https://doi.org/10.33969/EECS.V3.027.