Automatic Incident Detection with Floating Car Data

Master thesis (2017)

Authors

K. van Vianen Civil Engineering & Geosciences

Contributors

J.W.C. van Lint (supervisor 1)
W.J. Schakel (supervisor 2)
Cornelis Vuik (supervisor 2)
Y. Dierikx - Platschorre (supervisor 2)
Faculty
Civil Engineering & Geosciences
Copyright: © 2017 Karen van Vianen
Algorithm Incident detection Floating Car Data
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Published Date

17-10-2017

Language

English

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Faculty

Civil Engineering & Geosciences

Abstract

Based on incident characteristics and quality of loop data and floating car data, a new incident detection algorithm is designed based on floating car data. This new algorithm can detect incidents on lane level by comparing the number of lane changes for a situation without an incident with a situation with a possible incident. Floating car data can give information about the number of lane changes if the accurancy is high. The floating car data is used as input for the new algorithm. The results of this new algorithm are comparable or better than the current McMaster algorithm, depending on the available penetration rate of the floating car data.