Using microscopic video data measures for driver behavior analysis during adverse winter weather:opportunities and challenges

作     者：Ting Fu Sohail Zangenehpour Paul St-Aubin Liping Fu Luis F.Miranda-Moreno 

作者机构：Department of Civil Engineering and Applied MechanicsMcGill University Department of CivilGeological and Mining Engineeringcole Polytechnique de MontréalC.P.6079succ.Centre-VilleMontrealQC H3C 3A7Canada Department of Civil and Environmental EngineeringUniversity of Waterloo School of Transportation and LogisticsSouthwest Jiaotong University 

出 版 物：《Journal of Modern Transportation》 (现代交通学报（英文版）)

年 卷 期：2015年第23卷第2期

页      面：81-92页

学科分类：1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 082303[工学-交通运输规划与管理] 0802[工学-机械工程] 0814[工学-土木工程] 082302[工学-交通信息工程及控制] 0801[工学-力学（可授工学、理学学位）] 0823[工学-交通运输工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Winter Video data collection Issues Driver behavior Time to collision Winter roadmaintenance 

摘      要：This paper presents a driver behavior analysis using microscopic video data measures including vehicle speed, lane-changing ratio, and time to collision. An analytical framework was developed to evaluate the effect of adverse winter weather conditions on highway driving behavior based on automated （computer） and manual methods. The research was conducted through two case studies. The first case study was conducted to evaluate the feasibility of applying an au- tomated approach to extracting driver behavior data based on 15 video recordings obtained in the winter 2013 at three dif- ferent locations on the Don Valley Parkway in Toronto, Canada. A comparison was made between the automated approach and manual approach, and issues in collecting data using the automated approach under winter conditions were identified. The second case study was based on high quality data collected in the winter 2014, at a location on Highway 25 in Montreal, Canada. The results demonstrate the effectiveness of the automated analytical framework in analyzing driver behavior, as well as evaluating the impact of adverse winter weather conditions on driver behavior. This approach could be applied to evaluate winter maintenance strategies and crash risk on highways during adverse winter weather conditions.