当前位置: 首页> 国外交通期刊数据库 >详情
原文传递 Vehicle sensor data-based analysis on the driving style differences between operating indoor simulator and on-road instrumented vehicle
题名: Vehicle sensor data-based analysis on the driving style differences between operating indoor simulator and on-road instrumented vehicle
正文语种: 英文
作者: Geqi Qi, Wei Guan, Xucheng Li, Nick Hounsell; Neville A. Stanton
作者单位: MOE Key Laboratory of Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing, PR China; Atkins Ltd, London, UK; cTransport Research Group, Faculty of Engineering and the Environment, University of Southampton, Highfield, Southampton, UK
关键词: Driving style; instrumented vehicle; nonnegative matrix factorization; simulator; VSD
摘要: Indoor simulator and on-road instrumented vehicle are the most popular ways to analyze driving behaviors by using collected Vehicle Sensor Data (VSD). However, for a same driver, the driving performance could be different in the real world and in the simulated world. Even though many studies have been conducted to discover the differences of driving behaviors in these two circumstances, little research has focused on analyzing the differences in driving style, which can provide more integrated knowledge of a driver from the natural structure, stimulus–response mechanism, of driving behaviors. Therefore, in this paper, the driving styles in both the real world and the simulated world are extracted by implementing the nonnegative matrix factorization method on the collected VSD data. Through this analysis, the driving style differences can be quantitatively described and discussed in detail. It is found that the drivers tend to be more unstable and sometimes aggressive when driving the simulator and the deviation in the perception of temporal gap in two circumstances is also discovered. The research findings are particularly valuable to calibrate the driving simulator and construct more reliable driving behavior models.
出版年: 2019
期刊名称: Journal of Intelligent Transportation Systems Technology Planning and Operations
卷: 23
期: 2
页码: 144-160
检索历史
应用推荐