Development and evaluation of arterial incident detection models using fusion of simulated probe vehicle and loop detector data

Author:

Dia Hussein,Thomas Kim

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference26 articles.

1. Enhancing the universality and transferability of freeway incident detection using Bayesian-based neural networks;Abdulhai;Transportation Research Part C: Emerging Technologies,1999

2. Smoothing algorithms for incident detection;Chassiakos;Transportation Research Record,1993

3. Automated detection of lane-blocking freeway incidents using artificial neural networks;Cheu;Transportation Research Part C – Emerging Technologies,1995

4. Analysis of freeway accident detection;Corby;Transportation Research Record,1997

5. N. Cottman, K. Thomas, H. Dias, Assessment of incident-induced impacts on the performance of an arterial network. in: Proceedings of the 8th World Congress on ITS, Sydney, 2001.

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