Integration of machine learning and statistical models for crash frequency modeling

Dongqin Zhoua Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA16802, USACorrespondence[email protected]

Vikash V. Gayaha Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA16802, USA

Jonathan S. Woodb Department of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA50011, USA

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Jaber Qezelbash-Chamak, Saeid Badamchizadeh & Abbas Seifi. A fast-response mathematical programming approach for delivering disaster relief goods: an earthquake case study. Transportation Letters 0:0, pages 1-24.
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Yasir Ali, Fizza Hussain & Md Mazharul Haque. (2024) Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review. Accident Analysis & Prevention 194, pages 107378.
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Integration of machine learning and statistical models for crash frequency modeling

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Integration of machine learning and statistical models for crash frequency modeling

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