Design and Implementation of Urban Parking Path Planning System
- DOI
- 10.2991/assehr.k.201202.101How to use a DOI?
- Keywords
- parking problem, prediction of parking stalls, route selection, multi-objective planning, BP neural network, bidirectional Dijkstra algorithm, ArcGIS technology, system design
- Abstract
Aiming at the problem of effective berth information prediction and driving path selection in the parking process, this paper uses BP neural network to predict the number of vacant parking stalls, establishes a multi-objective planning model for the lowest travel cost path selection, and designs an improved Dijkstra algorithm of bidirectional search based on path direction guidance. Finally, based on ArcGIS Engine’s urban road network geographic information and Python’s crawling Baidu map intelligent traffic information, this paper develops and designs an urban parking lot path planning system, carries out path planning and parking stall prediction for urban parking lots. Research examples show that the system developed in this paper can effectively avoid inefficient parking by drivers, and can choose three modes of distance, travel time and lowest travel cost to plan the driving route according to personal wishes. It has important reference significance to improve the efficiency of parking path planning and optimize the allocation of parking resources.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jianping Sun AU - Zhenyu Wang AU - Yun Xu AU - Xiaopeng Li AU - Zhaoping Tang PY - 2020 DA - 2020/12/03 TI - Design and Implementation of Urban Parking Path Planning System BT - Proceedings of the Second International Symposium on Management and Social Sciences (ISMSS 2020) PB - Atlantis Press SP - 82 EP - 90 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.201202.101 DO - 10.2991/assehr.k.201202.101 ID - Sun2020 ER -