Citations (23)
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Zihe Zhang, Qifan Nie, Jun Liu, Alex Hainen, Naima Islam & Chenxuan Yang. (2022) Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data. Journal of Intelligent Transportation Systems 0:0, pages 1-19.
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Linchao Li, Yi Lin, Bowen Du, Fan Yang & Bin Ran. (2022) Real-time traffic incident detection based on a hybrid deep learning model. Transportmetrica A: Transport Science 18:1, pages 78-98.
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Elvira Thonhofer, Elisabeth Luchini & Stefan Jakubek. (2017) A flexible, adaptive traffic network simulation with parameter estimation. Journal of Intelligent Transportation Systems 21:1, pages 63-77.
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Wooyeon Yu, Sejoon Park, David S. Kim & Sung-Seok Ko. (2015) An Arterial Incident Detection Procedure Utilizing Real-Time Vehicle Reidentification Travel Time Data. Journal of Intelligent Transportation Systems 19:4, pages 370-384.
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Jiancheng Long, W.Y. Szeto, Qin Shi, Ziyou Gao & Hai-Jun Huang. (2015) A nonlinear equation system approach to the dynamic stochastic user equilibrium simultaneous route and departure time choice problem. Transportmetrica A: Transport Science 11:5, pages 388-419.
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W. Y. Szeto. (2014) Dynamic Modeling for Intelligent Transportation System Applications. Journal of Intelligent Transportation Systems 18:4, pages 323-326.
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Articles from other publishers (17)
Dimitrios I. Tselentis, Eleonora Papadimitriou & Pieter van Gelder. (2023) The usefulness of artificial intelligence for safety assessment of different transport modes. Accident Analysis & Prevention 186, pages 107034.
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Kancharla K. K. Chandan, Álvaro J. M. Seco & Ana M. C. Bastos Silva. (2022) Real-Time Incident-Responsive Signal Control Strategy under Partially Connected Vehicle Environment. Journal of Advanced Transportation 2022, pages 1-16.
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Xiaofeng Yang, Helei Hu, Shuo Yang, Wei Wang, Zhu Shi, Huazhen Yu & Youneng Huang. (2020) Train Operation Adjustment Method of Cross-line Train in Urban Rail Transit Based on Coyote Optimization Algorithm. Train Operation Adjustment Method of Cross-line Train in Urban Rail Transit Based on Coyote Optimization Algorithm.
Yi Lin, Linchao Li, Hailong Jing, Bin Ran & Dongye Sun. (2020) Automated traffic incident detection with a smaller dataset based on generative adversarial networks. Accident Analysis & Prevention 144, pages 105628.
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Jonny Evans, Ben WatersonAndrew Hamilton. (2020) Evolution and Future of Urban Road Incident Detection Algorithms. Journal of Transportation Engineering, Part A: Systems 146:6.
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S. Hireche & A. Dennai. 2020. Smart Energy Empowerment in Smart and Resilient Cities. Smart Energy Empowerment in Smart and Resilient Cities
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.
Xiaodan Liu & Chunliang Li. (2019) An intelligent urban traffic data fusion analysis method based on improved artificial neural network. Journal of Intelligent & Fuzzy Systems 37:4, pages 4413-4423.
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Yaroslav Hernandez-Potiomkin, Mohammad Saifuzzaman, Emmanuel Bert, Rafael Mena-Yedra, Tamara Djukic & Jordi Casas. (2018) Unsupervised Incident Detection Model in Urban and Freeway Networks. Unsupervised Incident Detection Model in Urban and Freeway Networks.
Mohamed Dardor, Mohammed Chlyah & Jaouad Boumhidi. (2018) Incident detection in signalized urban roads based on genetic algorithm and support vector machine. Incident detection in signalized urban roads based on genetic algorithm and support vector machine.
Mario Munoz-Organero, Ramona Ruiz-Blaquez & Luis Sánchez-Fernández. (2018) Automatic detection of traffic lights, street crossings and urban roundabouts combining outlier detection and deep learning classification techniques based on GPS traces while driving. Computers, Environment and Urban Systems 68, pages 1-8.
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Nejdet Dogru & Abdulhamit Subasi. (2018) Traffic accident detection using random forest classifier. Traffic accident detection using random forest classifier.
LiHua Wang & Zijun Zhou. (2017) Congestion Prediction for Urban Areas by Spatiotemporal Data Mining. Congestion Prediction for Urban Areas by Spatiotemporal Data Mining.
Eleonora D'Andrea & Francesco Marcelloni. (2017) Detection of traffic congestion and incidents from GPS trace analysis. Expert Systems with Applications 73, pages 43-56.
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Yang Liu, Xuedong Yan, Yun Wang, Zhuo Yang & Jiawei Wu. (2017) Grid Mapping for Spatial Pattern Analyses of Recurrent Urban Traffic Congestion Based on Taxi GPS Sensing Data. Sustainability 9:4, pages 533.
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Mohammed Chlyah, Mohamed Dardor & Jaouad Boumhidi. (2016) Multi-agent system based on support vector machine for incident detection in urban roads. Multi-agent system based on support vector machine for incident detection in urban roads.
Eleonora D'Andrea, David Di Lorenzo, Beatrice Lazzerini, Francesco Marcelloni & Fabio Schoen. (2016) Path Clustering Based on a Novel Dissimilarity Function for Ride-Sharing Recommenders. Path Clustering Based on a Novel Dissimilarity Function for Ride-Sharing Recommenders.
Jiancheng Long, W.Y. Szeto, Hai-Jun Huang & Ziyou Gao. (2015) An intersection-movement-based stochastic dynamic user optimal route choice model for assessing network performance. Transportation Research Part B: Methodological 74, pages 182-217.
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