利用被动式GPS数据的交通行为信息提取方法:发展现状及趋势

发布时间：2018-04-15 23:18

本文选题：个体交通行为 + 数据收集　；参考：《武汉大学学报(信息科学版)》2014年06期

【摘要】：被动式GPS技术能最大程度地减轻受访者的负担,因而成为收集个体交通行为信息的理想方法。但是被动式GPS技术仅能提供交通行为的时空、移动速度等信息,而无法直接获取个人出行和活动的详细信息,如出行的起始时间、出行目的、交通方式、活动起始时间、时长、同伴等。如何从GPS轨迹数据中准确获取这些关键的交通行为信息成为被动式GPS应用于个体时空间行为数据采集的难点所在。对该研究领域的发展现状和趋势进行了总体回顾和分析。首先,追溯了交通行为数据收集方法的发展历程,并重点概述近年来基于GPS原始数据的后续处理方法的发展现状。然后逐一分析和讨论了现有的基于被动式GPS数据的交通行为信息提取方法的优缺点和存在的问题。最后,对该领域的前景和潜在的研究问题以及对运用现代信息与通信技术(ICT)收集交通行为信息方法的发展方向提出了相关建议。
[Abstract]:Passive GPS technology can minimize the burden of interviewees, so it is an ideal method to collect information on individual traffic behavior.But passive GPS technology can only provide the information of traffic behavior, such as time and space, moving speed and so on, but can not directly obtain the detailed information of personal travel and activities, such as travel start time, travel purpose, transportation mode, activity start time, time, time, time, etc.A companion, etc.How to accurately obtain these key traffic behavior information from GPS trajectory data becomes a difficult point for passive GPS to collect spatial behavior data when it is applied to individuals.The present situation and trend of this research field are reviewed and analyzed.Firstly, the development history of traffic behavior data collection method is reviewed, and the development status of follow-up processing methods based on GPS raw data in recent years is emphatically summarized.Then the advantages and disadvantages and problems of the existing traffic behavior information extraction methods based on passive GPS data are analyzed and discussed one by one.Finally, the prospect and potential research problems in this field and the development direction of collecting traffic behavior information by using modern information and communication technology (ICT20) are put forward.
【作者单位】：香港浸会大学地理系;
【基金】：香港研究资助委员会资助项目(HKBU245008)~~
【分类号】：P228.49;U495

【共引文献】