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Shared Autonomous Mobility-on-Demand: A Learning-based approach and its performance in the presence of traffic congestion
IEEE Intelligent Transportation Systems Magazine ( IF 3.6 ) Pub Date : 2020-01-01 , DOI: 10.1109/mits.2020.3014417
Maxime Gueriau , Federico Cugurullo , Ransford A. Acheampong , Ivana Dusparic

Mobility-on-demand (MOD) systems consisting of shared autonomous vehicles (SAVs) are expected to improve the efficiency of urban transportation through reduced vehicle ownership and parking demand. However, several issues related to their implementation remain open, such as unifying the vehicle and ridesharing (RS) assignment with rebalancing (RB) unoccupied vehicles.

中文翻译:

Shared Autonomous Mobility-on-Demand:一种基于学习的方法及其在交通拥堵情况下的表现

由共享自动驾驶汽车 (SAV) 组成的按需出行 (MOD) 系统有望通过减少车辆拥有量和停车需求来提高城市交通的效率。然而,与其实施相关的几个问题仍然悬而未决,例如统一车辆和拼车 (RS) 分配与重新平衡 (RB) 无人车。
更新日期:2020-01-01
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