Aerial Observation of Inner City Traffic and Analysis of Microscopic Data at Traffic Signals
Today’s main data source for the empirical analysis of congested city traffic is floating car data. From connected vehicles, traffic service providers collect their probes’ data in an interval of about 5-10 seconds. This resolution combined with an optimal coverage of 2-4 % of the total traffic flow is not detailed enough to perform microscopic examinations of the traffic phenomena. In this work, an unmanned aerial vehicle (UAV) was used to record videos of inner city traffic situations and analyze the videos using supervised tracking methods together with automated enhancements to perform spatio-temporal measurements of single vehicles. The measurement methodology is explained and the results are compared with previous measurements made with multiple commercial radar traffic sensors. Then a first analysis of two minutes long measured microscopic data is conducted. The drivers’ lane changing behavior is analyzed and a moving synchronized pattern in under-saturated traffic is shown, according to the three-phase theory for inner city traffic.
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Supplemental Notes:
- This paper was sponsored by TRB committee ABJ50 Standing Committee on Information Systems and Technology.
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Corporate Authors:
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Authors:
- Kaufmann, Stefan
- Kerner, Boris S
- Rehborn, Hubert
- Koller, Micha
- Klenov, Sergey L
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Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: 16p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Aerial reconnaissance; Automatic vehicle detection and identification systems; Drones; Lane changing; Microscopic traffic flow; Remote sensing; Traffic surveillance
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01627791
- Record Type: Publication
- Report/Paper Numbers: 17-03078
- Files: TRIS, TRB, ATRI
- Created Date: Feb 27 2017 5:12PM