基于视频识别的城市智慧停车管理模式—城市智能停车管理、交通管理与互联网出行服务综合解决方案
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- 英文论文题名：Video recognition-based Urban Intelligent Parking Management system——Intelligent Parking Management,Traffic Management and Integrated Solutions for internet travel service
- 论文作者：孙巍巍 ; 曾文 ; 吕涛
- 英文论文作者：Sun Weiwei ; Zeng Wen ; Lu Tao ; Beijing JAYA Technology Co. ; Ltd.
- 年：2016
- 作者机构：北京精英智通科技股份有限公司;
- 论文关键词：路内停车 ; 智慧停车 ; 视频识别
- 英文论文关键词：Road Parking ; Intelligent Curb Parking ; Video Identification
- 会议召开时间：2016-11-16
- 会议录名称：第十一届中国智能交通年会大会论文集
- 语种：中文
- 分类号：TP391.41;U495;U491.7
- 学会代码：ZJTX
- 会议名称：第十一届中国智能交通年会
- 会议地点：中国重庆
- 主办单位：中国智能交通协会
- 学会名称：中国智能交通协会
- 页数：11
- 文件大小：2373k
- 原文格式：D
- 会议级别：全国
摘要
当前城市停车市场面临车主停车难、停车税费流失严重、违法停车严重、交通拥堵等问题,通过智慧停车系统为城市路内停车提供规范化的管理和服务,是未来停车管理市场的发展趋势之一。智慧停车平台依托大数据与移动互联网,以停车管理为核心,构建汽车管理生态链服务平台,实现智能的路内停车管理模式。本文提出的基于视频识别的城市智慧停车管理模式,能够有效的解决现今城市路内停车难题,提高路内停车使用率,缓解交通压力。
Current urban road parking faces many problems such as limit parking space,high parking fee,serious illegal parking and heavy traffic jam.Intelligent parking system which can provide standardized management and services will become the trend of future parking market.Based on big data,internet and videos,focusing on parking management,Wisdom parking builds a car management chain service platform and creates an intelligent curb parking management model.Intelligent parking management model presented in this paper will effectively solve problems of curb road parking,improve utilization rate and alleviate traffic pressure.
Current urban road parking faces many problems such as limit parking space,high parking fee,serious illegal parking and heavy traffic jam.Intelligent parking system which can provide standardized management and services will become the trend of future parking market.Based on big data,internet and videos,focusing on parking management,Wisdom parking builds a car management chain service platform and creates an intelligent curb parking management model.Intelligent parking management model presented in this paper will effectively solve problems of curb road parking,improve utilization rate and alleviate traffic pressure.
引文
[1]李娅,顾金刚,龚翔,王运霞.我国路内停车问题及管理措施研究[J].道路交通与安全,2011(1):11-15.
[2]吕北岳,张晓春.深圳市路内停车泊位设置研究[J].城市交通,2009,7(2):19-21.
[3]彭春华,刘建业,刘岳峰,晏磊,郑江华.车辆检测传感器综述[J].传感器与微系统,2007,26(6):4-7.
[4]梅振宇.城市路内停车设施设置优化方法研究[D].南京:东南大学,2006.
[2]吕北岳,张晓春.深圳市路内停车泊位设置研究[J].城市交通,2009,7(2):19-21.
[3]彭春华,刘建业,刘岳峰,晏磊,郑江华.车辆检测传感器综述[J].传感器与微系统,2007,26(6):4-7.
[4]梅振宇.城市路内停车设施设置优化方法研究[D].南京:东南大学,2006.