黑龙江交通科技2024,Vol.47Issue(4) :155-159,164.

面向无人驾驶车辆的"华容道"智慧停车系统设计

Design of"Huarong Road"Intelligent Parking System for Unmanned Vehicle

翁忻 杨星宇 李春怡 谢倩
黑龙江交通科技2024,Vol.47Issue(4) :155-159,164.

面向无人驾驶车辆的"华容道"智慧停车系统设计

Design of"Huarong Road"Intelligent Parking System for Unmanned Vehicle

翁忻 1杨星宇 1李春怡 1谢倩1
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作者信息

  • 1. 江苏大学汽车与交通工程学院,江苏 镇江 212013
  • 折叠

摘要

为提升停车场停车效率并节约用地空间,根据车辆停车最小横向净距和停车加减速距离特征探究无人驾驶车辆停车属性.进一步运用"华容道"路径行驶方法和图论优化最大密度式和最优移动式停车场容量,通过典型场景停车场分析扩展至一般场景的停车场.运用C#面向对象设计无人驾驶车辆最优布局下的停车场系统,该系统包含最大密度式停车场容量、最优移动式停车场容量、多出入口、特殊情况、预计耗时分析等功能.研究成果可提升停车场停车效率与密度,其中最大密度式与最优移动式停车场的停车密度较传统停车场分别提升了至少20%和50%,为当前智慧交通领域提供新的规划思路和优化方法.

Abstract

In order to improve the parking efficiency of the parking lot and save the land space,the parking attributes of unmanned ve-hicle are explored according to the characteristics of the minimum lateral clear distance and the acceleration and deceleration distance of parking.The"Huarong Road"path driving method and graph theory are further used to optimize the maximum density and optimal mobile parking lot capacity,and the parking lot analysis of typical scenes is extended to the parking lot of general scenes.The parking lot system under the optimal layout of unmanned vehicles is designed by using C#object-oriented design.The system includes the maximum density parking lot capacity,the optimal mobile parking lot capacity,multiple entrances and exits,special cases,expected time-consuming analysis and other functions.The research achievements can improve the parking efficiency and density of the parking lot.The parking density of the maximum density parking lot and the optimal mobile parking lot is increased by at least 20%and 50%respectively compared with the traditional parking lot,which provides new planning ideas and optimization methods for the current in-telligent transportation field.

关键词

高密度停车/无人驾驶车辆/停车场布局/C#面向对象

Key words

high density parking/unmanned vehicle/parking layout/C#object oriented

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基金项目

2022年江苏大学国家级创新创业计划资助项目(200210299061Z)

出版年

2024
黑龙江交通科技
黑龙江省交通科学研究所,黑龙江省交通科技情报总站

黑龙江交通科技

影响因子:0.977
ISSN:1008-3383
参考文献量7
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