A Taxi Order Dispatch Model based On Combinatorial Optimization

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MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence (2017, background): “2017) and city transportation optimization (Zhang et al. 2017) etc.”
A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021, background): “[187] combinatorially match multiple driver-order pairs within a short time window.”
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach (2018, background): “Note that we do not compare to [24] since Didi Chuxing has already completed the switch from the traditional “driver-selectorder mode” used in [24] to the new “platform-assign-order mode” studied in this paper, where the switch itself has already brought a significant improvement in efficiency.”
Dynamic pricing and matching in ride‐hailing platforms (2019, unknown): “Due to its substantial beneﬁts, batching has been implemented in major ride-hailing platforms (Lyft 2016a, Zhang et al. 2017).”
Ridesourcing systems: A framework and review (2019, background): “Some recent work examines platform competition strategies given the multi-homing behavior of passengers and drivers, such as studies by Cohen and Zhang (2017), Jeitschko and Tremblay (2019), Belleflamme and Peitz (2019) , and Bryan and Gans (2019) , which are discussed in Section 6.1 .”