01627791

Component

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.

This paper was sponsored by TRB committee ABJ50 Standing Committee on Information Systems and Technology.

01618707

17-03078

English

16p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References

Aerial reconnaissance; Automatic vehicle detection and identification systems; Drones; Lane changing; Microscopic traffic flow; Remote sensing; Traffic surveillance

Data and Information Technology; Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2017 Paper #17-03078

TRIS, TRB, ATRI

Dec 8 2016 11:09AM