| An intersection game-theory-based traffic control algorithm in a connected vehicle environment M Elhenawy, AA Elbery, AA Hassan, HA Rakha 2015 IEEE 18th international conference on intelligent transportation …, 2015 | 158 | 2015 |
| A comparative analysis of e-scooter and e-bike usage patterns: Findings from the City of Austin, TX MH Almannaa, HI Ashqar, M Elhenawy, M Masoud, A Rakotonirainy, ... International Journal of Sustainable Transportation 15 (7), 571-579, 2021 | 141 | 2021 |
| Perception analysis of E-scooter riders and non-riders in Riyadh, Saudi Arabia: Survey outputs MH Almannaa, FA Alsahhaf, HI Ashqar, M Elhenawy, M Masoud, ... Sustainability 13 (2), 863, 2021 | 110 | 2021 |
| Modeling bike availability in a bike-sharing system using machine learning HI Ashqar, M Elhenawy, MH Almannaa, A Ghanem, HA Rakha, L House 2017 5th IEEE International Conference on Models and Technologies for …, 2017 | 97 | 2017 |
| Modeling bike counts in a bike-sharing system considering the effect of weather conditions HI Ashqar, M Elhenawy, HA Rakha Case studies on transport policy 7 (2), 261-268, 2019 | 96 | 2019 |
| Dynamic travel time prediction using data clustering and genetic programming M Elhenawy, H Chen, HA Rakha Transportation Research Part C: Emerging Technologies 42, 82-98, 2014 | 84 | 2014 |
| Crash severity analysis of vulnerable road users using machine learning MMR Komol, MM Hasan, M Elhenawy, S Yasmin, M Masoud, ... PLoS one 16 (8), e0255828, 2021 | 67 | 2021 |
| Smartphone transportation mode recognition using a hierarchical machine learning classifier and pooled features from time and frequency domains HI Ashqar, MH Almannaa, M Elhenawy, HA Rakha, L House IEEE Transactions on Intelligent Transportation Systems 20 (1), 244-252, 2018 | 65 | 2018 |
| Self-interruptions of non-driving related tasks in automated vehicles: Mobile vs head-up display MA Gerber, R Schroeter, L Xiaomeng, M Elhenawy Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 63 | 2020 |
| Dynamic linear models to predict bike availability in a bike sharing system MH Almannaa, M Elhenawy, HA Rakha International journal of sustainable transportation 14 (3), 232-242, 2020 | 50 | 2020 |
| Network and station-level bike-sharing system prediction: A San Francisco bay area case study HI Ashqar, M Elhenawy, HA Rakha, M Almannaa, L House Journal of Intelligent Transportation Systems 26 (5), 602-612, 2022 | 48 | 2022 |
| Heuristic approaches to solve e-scooter assignment problem M Masoud, M Elhenawy, MH Almannaa, SQ Liu, S Glaser, ... IEEE access 7, 175093-175105, 2019 | 46 | 2019 |
| Modeling driver stop/run behavior at the onset of a yellow indication considering driver run tendency and roadway surface conditions M Elhenawy, A Jahangiri, HA Rakha, I El-Shawarby Accident Analysis & Prevention 83, 90-100, 2015 | 46 | 2015 |
| A review of naturalistic driving study surrogates and surrogate indicator viability within the context of different road geometries J Pinnow, M Masoud, M Elhenawy, S Glaser Accident Analysis & Prevention 157, 106185, 2021 | 35 | 2021 |
| Deep reinforcement learning agent with varying actions strategy for solving the eco-approach and departure problem at signalized intersections SR Mousa, S Ishak, RM Mousa, J Codjoe, M Elhenawy Transportation research record 2674 (8), 119-131, 2020 | 35 | 2020 |
| Use of social interaction and intention to improve motion prediction within automated vehicle framework: A review DE Benrachou, S Glaser, M Elhenawy, A Rakotonirainy IEEE Transactions on Intelligent Transportation Systems 23 (12), 22807-22837, 2022 | 26 | 2022 |
| A novel supervised clustering algorithm for transportation system applications MH Almannaa, M Elhenawy, HA Rakha IEEE transactions on intelligent transportation systems 21 (1), 222-232, 2019 | 26 | 2019 |
| Classification of driver stop/run behavior at the onset of a yellow indication for different vehicles and roadway surface conditions using historical behavior M Elhenawy, A Jahangiri, HA Rakha, I El-Shawarby Procedia Manufacturing 3, 858-865, 2015 | 26 | 2015 |
| Deep transfer learning for vulnerable road users detection using smartphone sensors data M Elhenawy, HI Ashqar, M Masoud, MH Almannaa, A Rakotonirainy, ... Remote Sensing 12 (21), 3508, 2020 | 24 | 2020 |
| C-ITS safety evaluation methodology based on cooperative awareness messages M Elhenawy, A Bond, A Rakotonirainy 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 23 | 2018 |
Hesham A. RakhaSamuel Reynolds Pritchard Professor of Engineering, Virginia TechVerified email at vt.edu
