Towards autonomy: Cost-effective scheduling for long-range autonomous valet parking (LAVP)

Muhammad Khalid, Yue Cao, Xu Zhang, Chong Han, Linyu Peng, N. Aslam, Naveed Ahmad
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引用次数: 12

Abstract

Continuous and effective developments in Autonomous Vehicles (AVs) are happening on daily basis. Industries nowadays, are interested in introducing less costly and highly controllable AVs to public. Current so-called AVP solutions are still limited to a very short range (e.g., even only work at the entrance of car parks). This paper proposes a parking scheduling scheme for long-range AVP (LAVP) case, by considering mobility of Autonomous Vehicles (AVs), fuel consumption and journey time. In LAVP, Car Parks (CPs) are used to accommodate increasing numbers of AVs, and placed outside city center, in order to avoid traffic congestions and ensure road safety in public places. Furthermore, with positioning of reference points to guide user-centric long-term driving and drop-off/pick-up passengers, simulation results under the Helsinki city scenario shows the benefits of LAVP. The advantage of LAVP system is also reflected through both analysis and simulation.
迈向自主:远程自动代客泊车(LAVP)的成本效益调度
自动驾驶汽车(AVs)的持续有效发展每天都在发生。如今,业界对向公众推出成本更低、高度可控的自动驾驶汽车很感兴趣。目前所谓的AVP解决方案仍然局限于非常短的范围内(例如,甚至只能在停车场入口处工作)。本文提出了一种考虑自动驾驶汽车机动性、油耗和行程时间的远程自动驾驶汽车(AVP)停车调度方案。在LAVP中,停车场(CPs)用于容纳越来越多的自动驾驶汽车,并放置在市中心以外,以避免交通拥堵,确保公共场所的道路安全。此外,通过定位参考点来引导以用户为中心的长期驾驶和上下车乘客,在赫尔辛基城市场景下的模拟结果显示了LAVP的好处。通过分析和仿真,也体现了LAVP系统的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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