基于大规模GPS轨迹数据的出租车换道行为研究

Study on Lane-Changing Behavior Based on Large Scale GPS Trajectory Data

出租车换道行为的统计特性对研究经济、心理等人类动力学有重要的意义.结合大数据分析技术,基于西安市出租车GPS轨迹数据对出租车司机的换道行为进行了定量研究.设计了一种基于出租车GPS轨迹数据的出租车司机换道行为识别模型,利用大数据平台对出租车司机换道次数按不同时段进行了定量统计,对出租车司机换道次数、出租车平均行驶速度和出租车司机的收入之间进行了相关性分析.分析结果表明,出租车频繁换道行为对司机收益呈现负相关影响,进一步说明出租车司机驾驶习惯和和心理对整个出租车运营有显著影响.

The statistical characteristics of taxi behavior have important significance to study the economic and psychological of human dynamics. Based on the taxi GPS track data in Xi’an, the lane-changing behavior was quantitatively studied by big data analysis technology. The model of a lane-changeing behavior recognition was designed,combined with the big data analysis technology, the number of taxi drivers’ lane-changing was quantified in terms of different time periods, and the correlation analysis between taxi drivers’ lane-changing times, taxi average driving speed,and taxi drivers’ income was carried out. The results show that there is a significant negative correlation between the income of taxi drivers and the average driving speed of taxis, which further indicates that taxi drivers’ habits and psychology have a significant impact on the whole taxi operation.