Abstract
A method to distinguish between incidents and compression waves in freeway traffic is presented. The method is based on shock-wave propagation characteristics and aims to identify specific cross-correlation patterns in occupancy data from adjacent sensors along the freeway. The method is implemented in a computer algorithm and used to improve the detection performance of DELOS, an existing incident detection algorithm. Results from testing the algorithm with traffic and incident data demonstrate superior performance to DELOS in terms of detection and false alarm rates.
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