Public vehicles for future urban transportation
Public vehicles for future urban transportation
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未来城市交通的公共车辆
DOI：
10.1109/tits.2016.2543263
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发表时间：
2016
影响因子：
8.5
通讯作者：
Wu Min-You
中科院分区：
文献类型：
--
作者：
Zhu Ming;Liu Xiao-Yang;Tang Feilong;Qiu Meikang;Shen Ruimin;Shu Wennie;Wu Min-You
本文倡导未来智慧城市交通系统的新范式，即公共车辆（PV），可根据要求提供动态拼车出行。乘客将享受到更方便、更灵活的交通服务，花费更少。在光伏系统中，车辆数量和所需的停车位都将大大减少。交通堵塞会减少，能源消耗会减少，污染也会减少。本文阐述了光伏发电系统的概念、方法和算法。有效实施光伏系统的关键问题是设计高效的规划和调度算法。PV-路径问题的制定，这是NP完全的。然后，提出了一种实用的方法，它可以随时随地为人们服务。仿真结果表明，为了实现相同的性能（例如，总时间、等待时间和行驶时间），与传统车辆系统和Uber Pool相比，PV系统中的车辆数量可以分别减少约90%和57%，总行驶距离可以减少34%和14%。
This paper advocates a new paradigm of transportation systems for future smart cities, namely, public vehicles (PVs), that provides dynamic ridesharing trips at requests. Passengers will enjoy more convenient and flexible transportation services with much less expense. In the PV system, both the number of vehicles and required parking spaces will be significantly reduced. There will be less traffic congestion, less energy consumption, and less pollution. In this paper, the concept, method, and algorithm for the PV system are described. The key issue of effectively implementing the PV system is to design efficient planning and scheduling algorithms. The PV-path problem is formulated, which is NP-complete. Then, a practical approach is proposed, which can serve people anywhere and anytime. The simulation results show that, to achieve the same performance (e.g., total time, waiting time, and travel time), the number of vehicles in the PV system can be reduced by around 90% and 57% compared with the conventional vehicle system and Uber Pool, respectively, and the total traveling distance can be reduced by 34% and 14%.