融合手机信令与路测数据的个体高速公路出行全过程路径识别方法  

A Whole-Process Path Identification Method for Individual Highway Travel Based on the Fusion of Mobile Phone Signaling and Road Test Data

作　　者：程国宏[1] 段征宇[2] 孙世超 梁丽娟 张培岭 李振铭 Cheng Guohong;Duan Zhengyu;Sun Shichao;Liang Lijuan;Zhang Peiling;Li Zhenming

机构地区：[1]杭州市交通规划设计研究院 [2]同济大学交通学院 [3]大连海事大学交通运输工程学院 [4]上海通准信息科技有限公司

出　　处：《交通与港航》2025年第2期44-49,56,共7页Communication & Shipping

基　　金：2023年杭州市交通运输学会科研项目“基于手机信令数据的跨区域出行分方式OD识别关键技术研究”(Hzjt202324)。

摘　　要：传统调查方法和收费站门架在获取高速公路的网内出行轨迹以及网外起讫点信息方面存在不足。为此,提出了一种用于识别个体高速公路出行全程路径的方法。该方法通过路测实验,获取高速公路不同出行路径的通信基站基准序列,并利用Needleman-Wunsch算法对个体出行产生的手机信令数据序列与已获取通信基站的基准序列进行匹配度计算,从而确定个体的高速公路出行轨迹,并回溯其实际的始发地和目的地。以杭新景高速公路为例,在不同的出行距离、行驶车速和通信状况场景下,方法的整体准确率达到了91%。研究获取的高速出行轨迹和起讫点,有助于高速公路出行路径选择模型的参数标定,并支持高速公路与低等级公路或市政道路的衔接能力评估。The traditional survey methods and toll booth gantry data have limitations in obtaining travel trajectories within the expressway network and information about the origin and destination points before and after entering the expressway.This article proposes a method for identifying the entire travel path of individuals on expressway.Through road testing experiments,this method captures benchmark sequences of mobile base stations passed for different travel paths on the expressway,then uses the Needleman-Wunsch Algorithm to calculate the matching degree between the mobile signaling data sequences generated by individual travels and the benchmark sequences of mobile base stations obtained.This process helps determine the individual's expressway travel trajectory.Based on this,continuously collected mobile signaling data is used to trace back to the actual origin and destination points.Taking the Hangzhou Xinjing Expressway as an example,in different scenarios involving varying travel distances,driving speeds,and communication conditions,the overall accuracy of this travel path identification method reaches 91%.The obtained travel trajectories and the origindestination points of the entire process,as derived from this research,contribute to parameter calibration for models predicting expressway travel paths.Furthermore,they support the assessment of the connectivity between expressways and lowergrade roads or municipal roads.

关 键 词：高速公路 出行路径识别 路测实验 手机信令数据 Needleman-Wunsch算法 

分 类 号：U491[交通运输工程—交通运输规划与管理]