基于号牌识别数据的车辆出行特征分析

Analysis of Vehicle Travel Characteristics Based on License Plate Recognition Data

为给城市交通精细化管理和科学治堵提供信息支撑,对成都市主城区机动车出行特征进行了探讨。选取了2019年9月成都市三环内全域3032套号牌识别系统数据为例进行挖掘分析,对初始数据进行预处理后,通过机动车出行链分离算法提取机动车出行次数、出行时长等出行强度特征信息,并在此基础上,结合月出行次数、日出行总时长以及交通管理实际对通勤形态、营运形态、短期到访、随机形态共四类车辆进行识别,研究其在路网中的出行特征规律。分析结果能客观反映成都市主城区车辆出行现状,辅助城市交通管理决策。

In order to provide data support for refined management of urban traffic and scientific management of traffic congestion,this paper discusses the characteristics of motor vehicle travel in the main urban districts of Chengdu.3032 sets of data during September,2019 within the Third Ring Road(including the Third Ring Road)in Chengdu from the license plate recognition system are selected for mining and analyzing.After the initial data is preprocessed,travel intensity characteristics such as the frequency and the duration are extracted through the motor vehicle trip chain separation algorithm.Combined with the monthly trip frequency,the total duration of daily trip and the traffic management,four types of vehicles are identified,including commuting use,operation use,short-term visit and random use,travel characteristics of which in the road network are studied.The analysis results can objectively reflect the current situation of the use of motor vehicles in the main urban districts in Chengdu and help the traffic management decision-making.