基于GPS浮动车的数字速度模型在城市交通状态演变分析中的应用——以昆明市为例  

Application of Digital Velocity Model in Urban Traffic Dynamics Analysis Based on Floating Car——Taking Kunming as an example

作　　者：苟锡荣[1] 左小清[1] 张用川[1] 

机构地区：[1]昆明理工大学国土资源工程学院,昆明650093

出　　处：《科学技术与工程》2013年第11期3172-3177,共6页Science Technology and Engineering

摘　　要：为分析城市道路交通状态时空演变规律,提出了一种基于GPS浮动车数据的数字速度模型,依据昆明市2010年12月2日1 000辆装有GPS设备的出租车采集的城市交通路网各处样点速度,以60 min为间隔分24个时间段,采用Kriging插值法在ArcGIS Desktop内构建数字速度模型,从时间和空间角度分别分析模型得出,昆明市的交通状况呈现出从早上7:00开始车辆运行速度持续减缓,在早上7:00-9:00时段内形成早高峰,下午17:00-18:00时段形成晚高峰,22:00时之后恢复通畅的运行状态,在空间上,交通状态的演变由城市中心开始出现拥挤并不断地向周围蔓延,数字速度模型能够直观有效地揭示出昆明市交通状态的时空演变规律,为分析研究城市交通状态提供了一种新的方法。In order to analyzing spatial-temporal dynamics of traffic network in urban area, a digital velocity model based on GPS floating car is developed. Using sampling velocity datum collected from 1 000 operating taxi equipped with GPS on December 2, 2010 in Kunming, China, which is divided into 24 subsections according to time interval of 1 hour, a prototype of digital velocity model （DVM） is developed through Kriging interposition in ArcGIS Desktop. By analyzing the model both from spatial aspect and temporal aspect, the flowing conclusions can be drawn：the overall speed is downtrend from 7：00 in the morning, and reaches morning peak during the period from 7：00 to 9：00 and evening peak during the period from 17：00 to 19：00, and recovers to normal after 22：00. In spatial, overall speed is downtrend from center of the city to suburb. In short, digital velocity model can effec- tively show the dynamic of the traffic state in urban area and can provide a new approach to show laws of transporta- tion system in the urban.

关 键 词：城市交通 GPS浮动车 数字速度模型 交通状态演变规律 空间插值 

分 类 号：U491.14[交通运输工程—交通运输规划与管理]