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Monitoring Urban Traffic from Floating Car Data (FCD): Using Speed or a Los-Based State Measure

Conference paper
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Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 51)

Abstract

Floating Car Data (FCD) has an important traffic data source due to its lower cost and higher coverage despite its reliability problems. FCD obtained from GPS equipped vehicles can provide speed data for many segments in real-time, as provided by Be-Mobile for urban regions in Turkey. Though only providing speed per consecutive road segments, FCD is a great data source to visualize urban traffic state, in the absence of any other traffic data source, which is the focus of this study. After evaluation of variations of FCD speed values, a more simplified but more robust measure, called traffic state level (TSL) was proposed based on the Level of Service definition for urban arterials in the Highway Capacity Manual. Numerical results from analysis of one month FCD from May 2016, showed the capability of FCD and advantages and limitations of visualization based on TSL measure, which can be very efficient in data archiving, as well.

Keywords

Traffic pattern detection Traffic state estimation Data visualization Floating Car Data 

Notes

Acknowledgement

The authors would like to express their thanks to Integrated Systems & Systems Design (ISSD) company workers, for providing us to use FCD database.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Civil EngineeringMiddle East Technical UniversityAnkaraTurkey

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