KAUST Grant NumberCRG4-2582
Permanent link to this recordhttp://hdl.handle.net/10754/656137
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AbstractThis paper addresses the problem of road traffic congestion detection. We propose an effective approach to detect traffic congestion by combining the piecewise switched linear traffic (PWSL) and Shewhart control scheme. This approach uses PWSL model to describe the evolution of traffic density, and Shewhart chart to detect traffic congestions based on residuals obtained from PWSL model. The PWSL-Shewhart approach is evaluated using traffic data from the four-lane State Route 60 (SR-60) freeway in California. Results indicate that our approach accomplished reliable detection of traffic congestion.
CitationAbdelhafid, Z., Harrou, F., & Sun, Y. (2018). Flexible and efficient model-based congestion detection approach. 2018 6th International Conference on Control Engineering & Information Technology (CEIT). doi:10.1109/ceit.2018.8751929
SponsorsThis publication is based upon work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No: OSR-2015-CRG4-2582.
Conference/Event name2018 6th International Conference on Control Engineering & Information Technology (CEIT)