Public acceptance and perception of autonomous vehicles: a comprehensive review K Othman AI and Ethics 1 (3), 355-387, 2021 | 198 | 2021 |
Exploring the implications of autonomous vehicles: A comprehensive review K Othman Innovative Infrastructure Solutions 7 (2), 165, 2022 | 73 | 2022 |
Impact of autonomous vehicles on the physical infrastructure: Changes and challenges K Othman Designs 5 (3), 40, 2021 | 48 | 2021 |
Multidimension analysis of autonomous vehicles: the future of mobility K Othman Civil Engineering Journal 7, 71-93, 2022 | 30 | 2022 |
Public attitude towards autonomous vehicles before and after crashes: A detailed analysis based on the demographic characteristics K Othman Cogent Engineering 10 (1), 2156063, 2023 | 18 | 2023 |
Identification of the Barriers and Key Success Factors for Renewable Energy Public-Private Partnership Projects: A Continental Analysis K Othman, R Khallaf Buildings 12 (10), 1511, 2022 | 18* | 2022 |
The application of deep neural networks for the prediction of California Bearing Ratio of road subgrade soil K Othman, H Abdelwahab Ain Shams Engineering Journal 14 (7), 101988, 2023 | 15 | 2023 |
Cities in the era of autonomous vehicles: a comparison between conventional vehicles and autonomous vehicles K Othman Resilient and responsible smart cities, 95-108, 2022 | 13 | 2022 |
Prediction of the soil compaction parameters using deep neural networks K Othman, H Abdelwahab Transportation Infrastructure Geotechnology, 1-18, 2021 | 12 | 2021 |
Deep neural network models for the prediction of the aggregate base course compaction parameters K Othman Designs 5 (4), 78, 2021 | 11 | 2021 |
Prediction of the optimum asphalt content using artificial neural networks KMM Othman, H Abdelwahab Metallurgical and Materials Engineering 27 (2), 227-242, 2021 | 11 | 2021 |
Multifaceted synthesis of autonomous vehicles’ emerging landscape H Abdelgawad, K Othman Connected and autonomous vehicles in smart cities, 67-113, 2020 | 10 | 2020 |
Dynamic Bus Lanes Versus Exclusive Bus Lanes: Comprehensive Comparative Analysis of Urban Corridor Performance K Othman, A Shalaby, B Abdulhai Transportation Research Record 2677 (1), 341-355, 2023 | 9 | 2023 |
Models for estimating optimum asphalt content from aggregate gradation KM Mousa, HT Abdelwahab, HA Hozayen Proceedings of the Institution of Civil Engineers-Construction Materials 174 …, 2021 | 9 | 2021 |
Prediction of the hot asphalt mix properties using deep neural networks K Othman Beni-Suef University Journal of Basic and Applied Sciences 11 (1), 40, 2022 | 8 | 2022 |
Benefits of vehicle automation for public transportation operations K Othman CTCSE 6, 1-5, 2020 | 8 | 2020 |
Public transportation on the era of autonomous vehicles: exploring different scenarios K Othman Civ. Eng. Res. J 10 (5), 555800, 2020 | 7 | 2020 |
Artificial neural network models for the estimation of the optimum asphalt content of asphalt mixtures K Othman International Journal of Pavement Research and Technology 16 (4), 1059-1071, 2023 | 5 | 2023 |
Public–Private Partnerships for Higher Education Institutions in the United States R Khallaf, K Kang, M Hastak, K Othman Buildings 12 (11), 1888, 2022 | 5 | 2022 |
Exploring the evolution of public acceptance towards autonomous vehicles with the level of knowledge K Othman Innovative Infrastructure Solutions 8 (8), 208, 2023 | 3 | 2023 |