A study on smart parking guidance algorithm
A study on smart parking guidance algorithm
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DOI：
10.1016/j.trc.2014.04.010
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发表时间：
2014-07-01
影响因子：
8.3
通讯作者：
Jun, Hong-Bae
中科院分区：
文献类型：
--
作者：
Shin, Jong-Ho;Jun, Hong-Bae
由于城市空间资源有限，停车成本昂贵，停车问题成为城市交通管理的主要问题之一。由于停车位有限，大量的车辆在寻找停车位的过程中花费了不必要的时间和精力。为了应对这些限制，为驾驶员在停车设施选择上提供更智能的解决方案，本研究提出了一种智能停车引导算法。该算法支持司机在考虑城市停车设施实时状态的情况下找到最合适的停车设施。该算法考虑了到引导停车设施的行车距离、引导停车设施到目的地的步行距离、预期停车成本和停车引导引起的交通拥堵等因素，以建议最合适的停车设施。为了评估该算法的有效性，进行了仿真测试。该算法有效地控制了停车设施的利用率，减少了停车位搜索带来的交通拥堵，有助于最大限度地利用城市的空间资源，减少了流浪车辆不必要的能源消耗和二氧化碳排放。(C) 2014 Elsevier Ltd.版权所有。
Parking problem becomes one of major issues in the city transportation management since the spatial resource of a city is limited and the parking cost is expensive. Lots of cars on the road should spend unnecessary time and consume energy during searching for parking due to limited parking space. To cope with these limitations and give more intelligent solutions to drivers in the selection of parking facility, this study proposes a smart parking guidance algorithm. The proposed algorithm supports drivers to find the most appropriate parking facility considering real-time status of parking facilities in a city. To suggest the most suitable parking facility, several factors such as driving distance to the guided parking facility, walking distance from the guided parking facility to destination, expected parking cost, and traffic congestion due to parking guidance, are considered in the proposed algorithm. To evaluate the effectiveness of the proposed algorithm, simulation tests have been carried out. The proposed algorithm helps to maximize the utilization of space resources of a city, and reduce unnecessary energy consumption and CO2 emission of wandering cars since it is designed to control the utilization of parking facility efficiently and reduce traffic congestion due to parking space search. (C) 2014 Elsevier Ltd. All rights reserved.