交通运输研究2023，Vol.9Issue(6)：88-98,11.DOI:10.16503/j.cnki.2095-9931.2023.06.009
基于ETC门架数据的高速公路车辆行驶特征画像方法
Method for Portraying Driving Characteristics of Expressway Vehicles Based on ETC Gantry Data
摘要
Abstract
In order to reasonably evaluate the risk of driving behavior and the degree of abnormal toll inspection status of vehicles on expressway and to warn the risk vehicles in advance,a method for con-structing vehicle driving characteristic portraits based on ETC gantry data was proposed.Firstly,by an-alyzing the risky driving behavior and the toll inspection status of vehicles,a vehicle driving character-istic portrait index system was constructed with indicators including overspeed driving behavior,fa-tigue driving behavior,abnormal gantry state,abnormal toll state and abnormal path state.Then,a comprehensive entropy weight method was established by using entropy weight-TOPSIS method and entropy weight-grey correlation analysis to determine the weight of each index.Finally,eight vehicles were selected as the experimental objects to generate radar maps of vehicle driving characteristics to verify the effectiveness of the method.The results showed that three out of four Type 1 buses exhibit-ed overspeed driving behavior,with their overspeed driving index tending towards 0.8,while other driving characteristic indices all tended to 0.Among the four Type 6 trucks,two showed abnormal per-formance on the fatigue driving index,with the fatigue driving index tending towards 0.4,and one had abnormal toll status index tending towards 0.4,indicating a possible risk of fee evasion.It can be seen that this method can effectively distinguish the risk types of different vehicle models and help express-way managers to make targeted risk decisions.关键词
ETC门架/车辆行驶特征/熵权法/风险驾驶行为/通行费稽查状态Key words
ETC gantry/vehicle driving characteristics/entropy weight method/risky driving be-havior/toll inspection status分类
交通工程引用本文复制引用
刘利兵,路红,梅乐翔,李伟,盖冰阳,靳引利..基于ETC门架数据的高速公路车辆行驶特征画像方法[J].交通运输研究,2023,9(6):88-98,11.基金项目
陕西省交通运输厅2021年度交通科研项目(21-29X) （21-29X）
