Abstract
Different aspects of traffic dynamics are captured by different measurement methods. In this chapter, we discuss trajectory data and floating-car data, both providing space-time profiles of vehicles. While trajectory data captures all vehicles within a selected measurement area, floating-car data only provides information on single, specially equipped vehicles. Furthermore, trajectory data is measured externally while, as the name implies, floating-car data is captured inside the vehicle.
Measure what is measurable, and make measurable what is not so.
Galileo Galilei
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Notes
- 1.
The CAN-bus is a micro-controller communication interface present in all modern vehicles.
- 2.
The time headway is composed of the (rear-bumper-to-front-bumper) time gap plus the occupancy time interval of the leading vehicle.
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Further Reading
Further Reading
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May, A.D.: Traffic Flow Fundamentals. Prentice Hall, Eaglewood Cliffs, N.Y. (1990)
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Treiterer, J., et al.: Investigation of traffic dynamics by aerial photogrammetric techniques. Interim report EES 278-3, Ohio State University, Columbus, Ohio (1970)
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Thiemann, C., Treiber, M., Kesting, A.: Estimating acceleration and lane-changing dynamics from next generation simulation trajectory data. Transportation Research Record: Journal of the Transportation Research Board 2088 (2008) 90–101
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Schäfer, R.P., Lorkowski, S., Witte, N., Palmer, J., Rehborn, H., Kerner B.S.: A study of TomTom’s probe vehicle data with three-phase traffic theory. Traffic Engineering and Control 52 (2011) 225–230
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Treiber, M., Kesting, A. (2013). Trajectory and Floating-Car Data. In: Traffic Flow Dynamics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32460-4_2
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DOI: https://doi.org/10.1007/978-3-642-32460-4_2
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-32460-4
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