交通与运输2024,Vol.40Issue(4) :54-58.

基于车牌识别数据的区域交通特征分析方法及应用

Regional Traffic Feature Analysis Method and Application Based on License Plate Recognition Data

陈浩 刘凯 刘飞扬 谭倩
交通与运输2024,Vol.40Issue(4) :54-58.

基于车牌识别数据的区域交通特征分析方法及应用

Regional Traffic Feature Analysis Method and Application Based on License Plate Recognition Data

陈浩 1刘凯 1刘飞扬 2谭倩3
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作者信息

  • 1. 长沙市城市建设科学研究院,长沙 410015
  • 2. 中南大学 交通运输工程学院,长沙 410075
  • 3. 长沙市规划设计院,长沙 410075
  • 折叠

摘要

为分析区域交通特征,首先,通过均值与中位值对车牌识别数据进行数据清洗,以获取不同时段的道路行程时间,从而根据最大道路行程时间计算道路出行阈值;其次,通过道路出行阈值对单车出行轨迹进行多次出行划分,通过出行轨迹时空信息划分出行链;随后,根据出行链统计交通产生与吸引情况,从而获取研究区域内的交通特征;最后,以湖南省长沙市岳麓区局部路网为例,分析其车辆来源及主要出行方式,确定局部路网出行的热点区域与热点路径.通过所述方法,能够基于车牌识别数据深入挖掘区域交通特征,并进一步为交通规划提供数据支持.

Abstract

In order to analyze the regional traffic characteristics,firstly,the mean and median values are used to clean the license plate recognition data to obtain the road travel time of different periods,and then the road travel threshold is calculated according to the maximum road travel time.Secondly,the road travel threshold is used to divide the cycle travel path into multiple trips,and the travel chain is divided into spatio-temporal information of the travel path.Then,according to the travel chain statistics of traffic generation and attraction,so as to obtain the traffic characteristics in the study area.Finally,taking Yuelu District of Changsha City,Hunan Province as an example,the vehicle sources and main travel modes are analyzed,and the hot spots and hot routes of the local road network are determined.Through the method,regional traffic characteristics can be deeply mined based on license plate recognition data,and further provide data support for traffic planning.

关键词

车牌识别数据/多次出行划分/区域交通特征分析/行程时间/城市道路

Key words

License plate data/Multiple trip division/Analysis of regional traffic characteristics/Travel time/Urban road

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基金项目

国家自然科学基金面上项目(52172310)

出版年

2024
交通与运输
上海市交通工程学会

交通与运输

影响因子:0.342
ISSN:1671-3400
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