Abstract
Bus-booking is a novel service proposed to handle the massive traffic demand. Passengers can reserve bus seats through a bus-booking platform and it will place multiple passengers on one bus with a customized route. Order dispatching, route planning, and trajectory pricing are three key problems for this service, which interact intimately and are inappropriate to be solved separately in multi-stage. Consequently, we propose a Soft Actor-Critic (SAC) and attention based framework called SACA to solve these three problems jointly in an end-to-end manner. With the solutions of order dispatching and route planning obtained by an attention mechanism, SACA determines the order price for higher future revenue by a SAC network. SACA can deal with online scenarios and through various experiments based on real-world data, we prove its effectiveness compared with other multi-stage methods.
This work was supported by National Key R &D Program of China [2020 YFB1707900]; National Natural Science Foundation of China [62272302], Shanghai Municipal Science and Technology Major Project [2021 SHZDZX0102] and DiDi GAIA Research Collaboration Plan [202204].
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Didi Chuxing GAIA Initiative: https://outreach.didichuxing.com/.
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Gao, Y., Song, Y., Wei, X., Gao, X., Chen, G. (2023). SACA: An End-to-End Method for Dispatching, Routing, and Pricing of Online Bus-Booking. In: Wang, X., et al. Database Systems for Advanced Applications. DASFAA 2023. Lecture Notes in Computer Science, vol 13946. Springer, Cham. https://doi.org/10.1007/978-3-031-30678-5_23
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