| Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques A Das, MN Khan, MM Ahmed Accident Analysis & Prevention 142, 105578, 2020 | 73 | 2020 |
| Investigating the impact of fog on freeway speed selection using the SHRP2 naturalistic driving study data MN Khan, A Ghasemzadeh, MM Ahmed Transportation research record 2672 (16), 93-104, 2018 | 60 | 2018 |
| Driver performance and behavior in adverse weather conditions: an investigation using the SHRP2 naturalistic driving study data--phase 2. MM Ahmed, A Ghasemzadeh, B Hammit, MN Khan, A Das, E Ali, ... U.S. Department of Transportation, 2018 | 57 | 2018 |
| Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data MN Khan, MM Ahmed Accident Analysis & Prevention 142, 105521, 2020 | 51 | 2020 |
| Snow detection using in-vehicle video camera with texture-based image features utilizing K-nearest neighbor, support vector machine, and random forest MN Khan, MM Ahmed Transportation research record 2673 (8), 221-232, 2019 | 47 | 2019 |
| Weather and surface condition detection based on road-side webcams: Application of pre-trained convolutional neural network MN Khan, MM Ahmed International journal of transportation science and technology 11 (3), 468-483, 2022 | 43 | 2022 |
| Nonparametric multivariate adaptive regression splines models for investigating lane-changing gap acceptance behavior utilizing strategic highway research program 2 … A Das, MN Khan, MM Ahmed Transportation research record 2674 (5), 223-238, 2020 | 39 | 2020 |
| Non-parametric association rules mining and parametric ordinal logistic regression for an in-depth investigation of driver speed selection behavior in adverse weather using … MN Khan, A Das, MM Ahmed Transportation research record 2674 (11), 101-119, 2020 | 30 | 2020 |
| Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review MM Ahmed, MN Khan, A Das, SE Dadvar Accident Analysis & Prevention 167, 106568, 2022 | 28 | 2022 |
| Implementation of SHRP2 Results within the Wyoming Connected Vehicle Variable Speed Limit System MM Ahmed, PERK Young, PEA Ghasemzadeh, B Hammit, E Ali, MN Khan, ... US Department of Transportation, 2017 | 25 | 2017 |
| Multilevel Weather Detection Based on Images: A Machine Learning Approach with Histogram of Oriented Gradient and Local Binary Pattern-Based Features MN Khan, A Das, MM Ahmed, SS Wulff Journal of Intelligent Transportation Systems, 2021 | 21 | 2021 |
| Development of a novel convolutional neural network architecture named RoadweatherNet for trajectory-level weather detection using SHRP2 naturalistic driving data MN Khan, MM Ahmed Transportation research record 2675 (9), 1016-1030, 2021 | 14 | 2021 |
| Development of a novel framework for hazardous materials placard recognition system to conduct commodity flow studies using artificial intelligence AlexNet Convolutional Neural … S Gaweesh, MN Khan, MM Ahmed Transportation research record 2675 (11), 1357-1371, 2021 | 13 | 2021 |
| Cluster analysis and multi-level modeling for evaluating the impact of rain on aggressive lane-changing characteristics utilizing naturalistic driving data A Das, MN Khan, MM Ahmed, SS Wulff Journal of Transportation Safety & Security 14 (12), 2137-2165, 2022 | 11 | 2022 |
| A novel deep learning approach to predict crash severity in adverse weather on rural mountainous freeway MN Khan, MM Ahmed Journal of Transportation Safety & Security 15 (8), 795-825, 2023 | 10 | 2023 |
| Advancing traffic safety through the safe system approach: A systematic review MN Khan, S Das Accident Analysis & Prevention 199, 107518, 2024 | 8 | 2024 |
| Driver Performance and Behavior in Adverse Weather Conditions: Microsimulation and Variable Speed Limit Implementation of the SHRP2 Naturalistic Driving Study Results-Phase 3 M Ahmed, A Das, MN Khan, BE Hammit, E Ali Wyoming. Department of Transportation, 2021 | 6 | 2021 |
| Predicting pedestrian-involved crash severity using inception-v3 deep learning model MN Khan, S Das, J Liu Accident Analysis & Prevention 197, 107457, 2024 | 5 | 2024 |
| Prediction of truck-involved crash severity on a rural mountainous freeway using transfer learning with resnet-50 deep neural network MN Khan, A Das, MM Ahmed Journal of Transportation Engineering, Part A: Systems 150 (2), 04023131, 2024 | 5 | 2024 |
| Detecting Realtime Snowy Weather on Freeways Based on Machine Vision and Vehicle Kinamatics: A Non-Parametric Data Fusion Technique EM Ali, MN Khan, M Ahmed 99th Transportation Research Board Annual Meeting, 2020 | 5 | 2020 |
Mohamed M. Ahmed, PhD, PE, M.ASCEProfessor and Director, University of Cincinnati在 knights.ucf.edu 的电子邮件经过验证
