利用低频时空GPS轨迹进行交叉口通行时间探测

唐炉亮; 阚子涵; 黄方贞; 李清泉; SHAW Shihlung; 董坤

doi:10.13203/j.whugis20130822

利用低频时空GPS轨迹进行交叉口通行时间探测

1.
武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉, 430079;
2.
田纳西大学诺克斯维尔分校地理系, 美国田纳西州, TN37996;
3.
航天恒星科技有限公司(503所), 北京, 100086

基金项目: 国家自然科学基金(41571430,41271442,40801155);中国航天科技集团公司卫星应用研究院创新基金(2014_CXJJ-DSJ_02);深圳市北斗卫星应用工程技术研究中心项目。

详细信息

作者简介:
唐炉亮,博士,教授,主要从事时空GIS、交通GIS(GIS-T)、时空轨道大数据分析等研究。tll@whu.edu.cn

通讯作者:
阚子涵,博士生。kzh@whu.edu.cn

中图分类号: P208
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出版历程
- 收稿日期: 2015-05-25
- 发布日期: 2016-01-04

Travel Time Detection at Intersections from Taxis' Trace Data

1.
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
2.
The Department of Geography, University of Tennessee, Knoxville TN 37996, USA;
3.
Space Star Technology Co., Ltd, Beijing 100086, China

Funds: The National Natural Science Foundation of China, Nos. 41571430, 41271442, 40801155; Open Research Fund of the Academy of Satellite Application,No.2014_CXJJ-DSJ_02; the Fund of the Shenzhen Science Technology Bureau.

摘要

摘要: 交叉口是城市交通网络中各向交通流汇聚和转向的核心部位,往往形成城市交通的"瓶颈"和"堵点",其通行时间具有很大的不确定性。利用低频时空GPS轨迹数据,本文分析了交叉口的不同通行模式,动态确定不同通行模式下的交叉口范围,建立了交叉口通行时间的模糊回归模型,实现了交叉口通行时间的准确探测。以武汉市路网和GPS轨迹数据为例进行了实验验证,结果表明本文方法能够有效探测交叉口通行时间。
- 交叉口 /
- 通行时间探测 /
- 时空轨迹 /
- 通行模式
Abstract: Intersections are the critical points of urban transportation, acting as bottlenecks and clog points in urban traffic. The travel time through intersections is highly uncertain and comprises a large proportion of the overall travel time. Detecting the intersection travel time in different turning directions could contribute to improved efficiency in urban transportation. Based on low-frequency spatial-temporal GPS trajectory data, this paper presents a method to detect the intersection travel time. We analyzed four different travel patterns of vehicles according to the trajectory points through intersections. An improved point density method was used to determine the range of an intersection with different travel patterns, reasonably and dynamically. A fuzzy regression model was established to detect intersection travel time accurately. Traffic free flow speed and delays can also be obtained from the proposed method. Wuhan road network and GPS trajectory data were tested in experiments, and the results illustrate the effectiveness of the proposed method in detecting intersection travel time.
- intersection /
- travel time detection /
- space time trajectory /
- travel pattern

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参考文献(24)

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利用低频时空GPS轨迹进行交叉口通行时间探测

作者简介: 唐炉亮,博士,教授,主要从事时空GIS、交通GIS(GIS-T)、时空轨道大数据分析等研究。tll@whu.edu.cn

通讯作者: 阚子涵,博士生。kzh@whu.edu.cn

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出版历程

Travel Time Detection at Intersections from Taxis' Trace Data

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出版历程

目录

作者简介:
唐炉亮,博士,教授,主要从事时空GIS、交通GIS(GIS-T)、时空轨道大数据分析等研究。tll@whu.edu.cn

通讯作者:
阚子涵,博士生。kzh@whu.edu.cn