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冰雪条件下高速公路可变限速方法
引用本文:姚冬冬,马林,陶鹏飞,于丽梅,吴丛,孔彩华. 冰雪条件下高速公路可变限速方法[J]. 吉林大学学报(信息科学版), 2008, 38(3): 258-265
作者姓名:姚冬冬  马林  陶鹏飞  于丽梅  吴丛  孔彩华
作者单位:1. 吉林省交通科学研究所科研开发中心,长春130012; 2. 吉林大学交通学院,长春130022;
3. 云南开放大学教务处,昆明650599
基金项目:国家自然科学基金资助项目( 51705196) ; 吉林省交通运输科技基金资助项目( 2016-1-9)
摘    要:高速公路在冰雪天气下需要进行封路或限速等措施,导致道路通行能力减小,车辆行驶安全性下降。针对该问题,在考虑道路线形、冰雪条件道路特性与交通流特性的基础上,提出一种基于冰雪条件的高速公路可变限速方法。建立了包含道路线形与冰雪条件的速度生成模型,同时引入模糊控制系统对路面雪况进行预测。通过Vissim 软件对高速公路部分路段进行仿真实验,结果表明,该可变限速方法可根据雪况动态调整限速值,相比于对照组Ⅰ( 固定限速) 降低了车辆延误,提高了通行效率,相比于对照组Ⅱ( 封路除雪+ 无限速)提高了道路通行能力。表明相较于传统方法,该方法能更有效地保证冰雪条件下高速公路车辆通行效率与安全性。

关 键 词:智能交通   可变限速   模糊控制   高速公路   冰雪条件  
收稿时间:2019-09-10

Variable Speed Limit Control Method for Freeway under Snow and Ice Conditions
YAO Dongdong,MA Lin,TAO Pengfei,YU Limei,WU Cong,KONG Caihua. Variable Speed Limit Control Method for Freeway under Snow and Ice Conditions[J]. Journal of Jilin University:Information Sci Ed, 2008, 38(3): 258-265
Authors:YAO Dongdong  MA Lin  TAO Pengfei  YU Limei  WU Cong  KONG Caihua
Affiliation:1. Scientific Research Development Center,Jilin Province Institute of Transportation Science,Changchun 130012,China;
2. College of Transportation,Jilin University,Changchun 130022,China;
3. Office of Educational Administration,Yunnan Open University,Kunming 650599,China
Abstract:Freeways need to be closed or speed-limited in ice and snow conditions,which may lead to problemssuch as reducing road capacity and vehicle safety. In order to solve this problem,this paper proposes a variablespeed limit method for freeway under ice and snow conditions based on the characteristics of road alignment,iceand snow conditions and traffic flow characteristics. A velocity generation model including road alignment andsnow conditions is established,and a fuzzy control system is introduced to predict the snow condition. Thesimulation experiment was carried out by Vissim software in some sections of the freeway. The results show thatthe variable speed limit method proposed in this paper can dynamically adjusts the speed limit value according tothe snow condition. It reduces the vehicle delay compared with the control groupⅠ ( fixed speed limit) andimproves traffic efficiency and road capacity compared to control groupⅡ( road closure and snow removal + nospeed limit) . It shows that compared with the traditional method,the proposed method performs better ensuringthe efficiency and safety of highway vehicles under ice and snow conditions.
Keywords:intelligent transportation   variable speed limit   fuzzy logic control   freeway   ice and
snow conditions
  
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