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- W4386461639 abstract "High-quality strategic planning of autonomous mobility-on-demand (AMOD) systems is critical for the success of the subsequent phases of AMOD system implementation. To assist in strategic AMOD planning, we propose a dynamic and flexible flow-based model of an AMOD system. The proposed model is computationally fast while capturing the state transitions of two coordinated flows (i.e. co-flows): the AMOD service fleet vehicles and AMOD customers. Capturing important quantity dynamics and conservations through a system of ordinary differential equations, the model can economically respond to a large number and a wide range of scenario-testing requests. The paper illustrates the model efficacy through a basic example and a more realistic case study. The case study envisions replacing Manhattan's existing taxi service with a hypothetical AMOD system. The results show that even a simple co-flow model can robustly predict the systemwide AMOD dynamics and support the strategic planning of AMOD systems." @default.
- W4386461639 created "2023-09-06" @default.
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- W4386461639 date "2023-09-05" @default.
- W4386461639 modified "2023-09-27" @default.
- W4386461639 title "Coordinated flow model for strategic planning of autonomous mobility-on-Demand systems" @default.
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- W4386461639 doi "https://doi.org/10.1080/23249935.2023.2253474" @default.
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