Vehicle re-identification using induction loop data.

Author(s)
Lunt, G.
Year
Abstract

In this paper we report progress on the design of a vehicle tracking algorithm developed by TRL in conjunction with Bristol University. Once implemented, the algorithm will provide a comprehensive data set describing individual vehicle trajectories through a motorway. These trajectories can primarily be used to help calibrate and improve microscopic traffic simulation models. We start by giving a brief overview of current microscopic car-following and lane changing models found in the literature, and describe the various sources of data currently available to calibrate them. We then provide a detailed description of the data source used by the algorithm described in this paper. Finally, we describe how the data can be used to re-identify individual vehicles as they travel through a motorway, and provide some results of early algorithm implementation. (Author/publisher)

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Publication

Library number
20051141 aa ST (In: ST 20051141 CD-ROM)
Source

In: Young Researchers Seminar 2005, arranged by European Conference of Transport Research Institutes ECTRI, Forum of European National Highway Research Laboratories FEHRL and Forum of European Road Safety Research Institutes (FERSI), The Hague, The Netherlands, 11-13 May 2005, 12 p., 6 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.