基于卡口数据的车辆常发性出行规律研究

Study on Common Travel Rule of Vehicles Based on Bayet Data

随着城市的快速发展,城市交通系统也在逐渐扩展和延伸,其复杂程度也在不断提高,为交通系统的治理提出了更高的要求。基于科技的发展及执法需要,各种智能设备例如卡口智能系统,已应用到交通系统中。然而,由卡口智能系统所采集的各种数据依然没有得到十分有效的利用。通过对深圳及泸州两地城区卡口数据的清洗及分析,对不同规模城市、不同时段及日期的车辆常发性出行规律进行了研究。研究发现作为三线城市的泸州,其车辆常发性出行比例较高,道路系统内的流量较为稳定。相比其他时段,工作日高峰期的常发性出行比例更高。文章的分析方法和结论能够为卡口数据的分析利用和不同城市交通系统的差异化调控策略提供支持。

With the rapid development of the city,the urban traffic system is also gradually expanding and extending,and its complexity is also constantly improving,which has put forward higher requirements for the management of the traffic system.On the other hand,based on the development of science and technology and law enforcement needs,various intelligent devices,such as bayonet intelligent system,have been applied to the transportation system.However,the various data collected by the bayonet intelligent system are still not very effectively used.Through the cleaning and analysis of the bayonet data in Shenzhen and Luzhou,this paper studies the common travel rules of vehicles in cities of different sizes,different time periods and dates.The study found that in general,as a thirdtier city,Luzhou has a high proportion of vehicle regular travel,and the flow in the road system is relatively stable.Compared with other periods,the proportion of frequent travel is higher during the rush hour.The analysis methods and conclusions of this paper can support the analysis and utilization of bayonet data and the differentiated regulation strategies of different urban transportation systems.