重型货运车GPS数据处理与轨迹分析研究——以上海外环隧道通行车辆为例

Identification and Travel Pattern Analysis of Heavy Freight Vehicles in Shanghai Outer Ring Tunnel Based on GPS Data

上海货运交通量和运输量不断增长,使得货运交通尤其是重型货运交通管理日益成为城市综合治理领域的重点工作。该文基于重型货运车GPS数据,利用轨迹数据处理的多种技术对通过外环隧道的车辆轨迹进行识别、提取和停驻点判别。分析发现,隧道内上行(自东向西)方向货运车流量高峰集中在04:30—07:00,下行(自西向东)方向集中在10:30—13:30和14:30—16:30;货运车在隧道内上行方向的拥堵强度和拥堵时长均高于下行方向;浦西停驻密集地区分布在宝山杨行、淞南镇和高速公路省界出口处,浦东停驻密集地区分布在外高桥港区。研究结果对于优化隧道货运车管理及流量调控具有一定参考意义。

The volume of freight transportation and traffic in Shanghai continues to increase,making the management of freight transportation,especially heavy-duty freight transportation,an increasingly important focus of urban comprehensive governance.This article is based on GPS data from heavy-duty freight vehicles,and uses various trajectory processing techniques to identify,extract,and discriminate stopping points for vehicles passing through the Outer Ring Tunnel.Analysis shows that the peak volume of upward(east to west)direction freight vehicles in the tunnel is concentrated between 4:30-7:00 in the morning,while the peak volume of downward(west to east)direction is concentrated between 10:30-13:30 and 14:30-16:30.The congestion intensity and duration of freight vehicles in the upward direction are higher than those in the downward direction.The densely populated areas where freight vehicles stop in Puxi are distributed on highways and provincial roads in Baoshan Yangxing,Songnan Town,and provincial boundaries.The densely populated areas where freight vehicles stop in Pudong are distributed in the Waigaoqiao area.The research results are of reference significance for optimizing tunnel freight vehicle management and traffic regulation.