Author:
Knibbe W.J.J.,Alkim T.P.,Otten J.F.W.,Aidoo M.Y.
Cited by
13 articles.
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1. Comprehensive evaluation of multiple machine learning classifiers for predicting freeway incident duration;Innovative Infrastructure Solutions;2023-05-24
2. Overview of traffic incident duration analysis and prediction;European Transport Research Review;2018-05-31
3. Real-Time Incident Clearance Time Prediction Using Traffic Data from Internet of Mobility Sensors;2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech);2017-11
4. Combined PCA and NB to Predict Traffic Incident Duration;International Symposium for Intelligent Transportation and Smart City (ITASC) 2017 Proceedings;2017
5. Analysis of the Different Duration Stages of Accidents with Hazard-Based Model;International Journal of Intelligent Transportation Systems Research;2015-06-23