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Enhancing Sustainable Urban Mobility: Computer Vision Applications in Pedestrian Path Studies
Abdul-Mugis Yussif, Ridwan Taiwo, Tarek Zayed, Saeed Reza Mohandes, Sulemana Fatoama Abdulai
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Exploring the role of wavelet decomposition order in deep learning-based network-wide traffic prediction
Mohammad Javad Hassan Zada, Iuliia Yamnenko, Constantinos Antoniou
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Rubber and plastic waste-modified asphalt binders and mixtures: Performance against environmentally induced distresses-A review
Ramin Shahbazi, Ali Rajabipour, Ehsan Yaghoubi, Milad Bazli, Luis Herrera Diaz, Bogdan Z. Dlugogorski
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Assessment of the Effect of Temperature Variations in Falling Weight Deflectometer Deflections for Full-Depth Asphalt Pavements
Pablo Orosa, Bongsuk Park, Seonghwan Cho, John E. Haddock
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An interpretable deep machine learning model for crash severity prediction-Use of international big data
Khaled Assi, Ibrahim Nemer, Syed Masiur Rahman, Nedal Ratrout, Osama Mosameh, Uneb Gazder
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A spatial multi-criteria approach to support the participatory design of a network for e-scooters
Michela Le Pira, Martina Fazio, Nadia Giuffrida, Elena Cocuzza, Giuseppe Inturri, Matteo Ignaccolo
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Precision Salt Application Using Advanced Machine Learning Algorithms to Achieve Improved Road Safety and Reduced Environmental Impacts
Sepideh Emami Tabrizi, Jennifer Elizarov, Hani Farghaly, Bahram Gharabaghi
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Performance Indexes for characterizing driving behaviour
Gaetano Bosurgi, Orazio Pellegrino, Giuseppe Sollazzo, Alessia Ruggeri
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Synergistic enhancement of Bituminous concrete mixture performance with Polypropylene Granule modified binder and Rice Husk Ash as mineral filler substitute
A. Ramesh, V. Venkat Ramayya, P. Swojanya, V. Vinayaka Ram
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Algorithm-Based Runway Configuration Management: A Comprehensive ADSB Data Analysis
Kadir DÖNMEZ
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Alteration in delay time considering different pedestrian's crossing characteristics in the era of autonomous vehicles
Szilárd SZIGETI, Dávid FÖLDES, Attila ABA
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Machine detectability of road markings using classical image processing techniques for demand-oriented road operations in automated vehicles
Stefan Biermeier, Dirk Kemper, Tomasz Burghardt, Alvaro Garcia-Hernandez
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In-depth Investigation of Contributing Factors of Fatal/severe-injury Crashes at Highway Merging Areas using Machine Learning Classification Methods
Nischal Bhattarai, Ciyun Lin, Hongchao Liu, Yibin Zhang
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A Comprehensive Review of the Resilient Behaviour of Unbound Granular Pavement Materials
Ayesh Dushmantha, Shiran Jayakody, Yilin Gui, Chaminda Gallage
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Potential applications for composite utilization of rubber and plastic in asphalt pavements: A critical review
Haibin Li, Lichang Zhou, Yuhang Cai, Yongfei Zhang, Bature Auwal Ibrahim, Zixuan Feng, Liyun Tang, Zhigang Li, Fayong Yang
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Studying the performance of pavement defects at different road slopes using the vibration-based method and deep machine learning
Amir Shtayat
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