Automatic Incident Detection with Floating Car Data
K. van Vianen (TU Delft - Civil Engineering & Geosciences)
Hans van Lint – Mentor
Wouter J. Schakel – Graduation committee member
Kees Vuik – Graduation committee member
Y. Dierikx - Platschorre – Graduation committee member
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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.