基于车载OBD数据的小汽车出行特征分析——以北京市为例

发布时间：2018-05-05 23:07

本文选题：交通管理 + 小汽车出行　；参考：《城市交通》2017年05期

【摘要】：小汽车出行特征是城市道路网运行的重要影响因素之一。采集小汽车出行数据并深入分析其出行行为特征,是引导小汽车出行方式转变、降低机动车使用强度的重要条件,能够为交通精细化管理和政策制定提供支持。基于车载OBD可采集到的小汽车出行数据和轨迹数据,提出小汽车出行特征分析方法,得到出车率、出行次数、出行距离等量化指标,分析不同阶段、不同区域、不同政策下的出行指标变化特征。利用大数据分析方法对出行规律深层挖掘,进一步获得用户画像、路网非直线系数等交通特征。分析结果表明,车载OBD数据能够较好地反映小汽车出行行为特征,并对交通需求管理政策的实施效果做出定量评价。
[Abstract]:The characteristics of car travel is one of the important factors affecting the operation of urban road network. Collecting car travel data and analyzing its travel behavior characteristics is an important condition to guide the change of car travel mode and reduce the intensity of motor vehicle use. It can provide support for fine traffic management and policy formulation. Based on the car travel data and track data which can be collected by vehicle OBD, this paper puts forward a method to analyze the characteristics of car travel, and obtains the quantitative indexes such as car trip rate, trip times and travel distance, and analyzes different stages and regions. The change characteristics of travel index under different policies. By using big data analysis method, the travel law is excavated deeply, and the traffic characteristics such as user portrait, road network nonlinearity coefficient and so on are obtained. The analysis results show that the on-board OBD data can better reflect the characteristics of car travel behavior and quantitatively evaluate the effect of the traffic demand management policy.
【作者单位】：北京交通大学;北京交通发展研究院城市交通运行仿真与决策支持北京市重点实验室城市交通北京市国际科技合作基地;
【基金】：科技北京百名领军人才培养工程“交通数据挖掘团队”(Z161100004916021) 北京市科技计划项目“基于伪码信令数据的京津冀出行分析关键技术和系统”(Z161100005116006);北京市科技计划项目“北京市路况信息融合与统一发布示范平台”(Z161100001116094)
【分类号】：U491

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