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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front Earth Sci    2013, Vol. 7 Issue (1) : 28-33    https://doi.org/10.1007/s11707-012-0341-z
RESEARCH ARTICLE
Deriving average delay of traffic flow around intersections from vehicle trajectory data
Minyue ZHAO1,2, Xiang LI2()
1. Shanghai Key Labortatory for Urban Ecology and Sustainability, East China Normal University, Shanghai 200062, China; 2. Key Labortatory of Geographical Information Science (Ministry of Education), East China Normal University, Shanghai 200062, China
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Abstract

Advances of positioning and wireless communication technologies make it possible to collect a large number of trajectory data of moving vehicles in a fast and convenient fashion. The data can be applied to various fields such as traffic study. In this paper, we attempt to derive average delay of traffic flow around intersections and verify the results with changes of time. The intersection zone is delineated first. Positioning points geographically located within this zone are selected, and then outliers are removed. Turn trips are extracted from selected trajectory data. Each trip, physically consisting of time-series positioning points, is identified with entry road segment and turning direction, i.e. target road segment. Turn trips are grouped into different categories according to their time attributes. Then, delay of each trip during a turn is calculated with its recorded speed. Delays of all trips in the same period of time are plotted to observe the change pattern of traffic conditions. Compared to conventional approaches, the proposed method can be applied to those intersections without fixed data collection devices such as loop detectors since a large number of trajectory data can always provide a more complete spatio-temporal picture of a road network. With respect to data availability, taxi trajectory data and an intersection in Shanghai are employed to test the proposed methodology. Results demonstrate its applicability.

Keywords trajectory data      traffic flow information      intersection     
Corresponding Author(s): LI Xiang,Email:xli@geo.ecnu.edu.cn   
Issue Date: 05 March 2013
 Cite this article:   
Minyue ZHAO,Xiang LI. Deriving average delay of traffic flow around intersections from vehicle trajectory data[J]. Front Earth Sci, 2013, 7(1): 28-33.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-012-0341-z
https://academic.hep.com.cn/fesci/EN/Y2013/V7/I1/28
Fig.1  Intersection buffer
Fig.2  Line chart of speed versus time
iSpeedi /(m·s-1)Speedi+1 /(m·s-1)Caseti /s
1333010
2303010
3302810
428033.57
500210
600210
700210
800210
908210
1081344
11133710
12373610
Tab.1  Delay time of each situation
Fig.3  Indicated map of intersection
Fig.4  Directional road segments
Fig.5  Average delays on different road segments and directions at different periods of time
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