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不同能见度条件下高速公路车辆速度特性研究
引用本文:李长城,刘小明,荣建,吴思源.不同能见度条件下高速公路车辆速度特性研究[J].交通运输系统工程与信息,2014,14(6):213-218.
作者姓名:李长城  刘小明  荣建  吴思源
作者单位:1.北京工业大学城市交通学院,北京100124;2. 交通运输部公路科学研究院公路交通安全技术交通行业重点实验室,北京100088;3. 湖北省京珠高速公路管理处,武汉430056
基金项目:国家自然科学基金(51108214);公益性行业(气象)科研专项
摘    要:本文以京港澳高速公路湖北省内金山-武汉南路段内的交通流检测器及其附近设置于路侧的公路气象站的历史数据为主要研究数据,针对雾天低能见度等天气因素,分析有无雾及不同能见度条件对车辆速度均值及速度离散型的影响;研究在雾天条件下,不同车道位置、不同车辆类型、不同时间时段的车辆行驶速度的差异性;基于交通流Greenshield 经典V-K关系,采用非线性回归方法,建立雾天车辆平均行驶速度综合预测模型,模型的拟合优度达到80%.研究成果对研究公路沿线能见度因素对行车安全影响,分析雾天等低能见度条件下的公路通行能力,制定雾天等低能见度条件下可变速度控制等交通控制措施具有重要参考与借鉴意义.

关 键 词:交通工程  速度特性  非线性回归  高速公路  能见度  速度离散型  预测模型  
收稿时间:2014-05-22

Characteristics of Vehicle Speed for Expressway under Different Visibility Condition
LI Chang-cheng,LIU Xiao-ming,RONG Jian,WU Si-yuan.Characteristics of Vehicle Speed for Expressway under Different Visibility Condition[J].Transportation Systems Engineering and Information,2014,14(6):213-218.
Authors:LI Chang-cheng  LIU Xiao-ming  RONG Jian  WU Si-yuan
Institution:1. College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China; 2. Key Laboratory of Road Safety Ministry of Transportation PRC, Research Institute of Highway Ministry of Transportation, Beijing 100088, China; 3. Administration of Hubei Jingzhu Expressway,Wuhan 430056, China
Abstract:This paper explores the effects of traffic visibility on characteristics of vehicle speed, based on the traffic and road weather data of detectors positioned on the road segment between Jinshan and Wuhannan interchange of Jinggangao (G4) expressway in Hubei province. Focusing on the limited visibility weather element, this paper analyzes the effects of visibility on the mean speed and speed variation by fog or non-fog weather, or under fog weather condition with different visibility; speed characteristics are deeply explored from aspects of different factors of traffic lane, vehicle types and temporal hour, utilizing detailed traffic data containing traffic lane and vehicle type information. The comprehensive speed prediction model is built under fog weather condition considering several factors based on the classic traffic flow theory of Greenshield’s V- K relation, and the goodness- of- fit of the speed prediction model reaches 80% approximately. The research results of this paper can be useful or as a reference to impacts analysis of limited visibility on traffic safety, operation, and traffic capacity analysis, or decision making process of traffic control measures such as variable speed limit under adverse road weather conditions.
Keywords:traffic engineering  speed characteristic  non-linear regression  expressway  visibility  speed variation  prediction model
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