| The impacts of heavy rain on speed and headway Behaviors: An investigation using the SHRP2 naturalistic driving study data MM Ahmed, A Ghasemzadeh Transportation research part C: emerging technologies 91, 371-384, 2018 | 102 | 2018 |
| Analyzing the effect of fog weather conditions on driver lane-keeping performance using the SHRP2 naturalistic driving study data A Das, A Ghasemzadeh, MM Ahmed Journal of Safety Research, 2019 | 87 | 2019 |
| Utilizing naturalistic driving data for in-depth analysis of driver lane-keeping behavior in rain: Non-parametric MARS and parametric logistic regression modeling approaches A Ghasemzadeh, MM Ahmed Transportation research part C: emerging technologies 90, 379-392, 2018 | 83 | 2018 |
| Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model A Hosseinzadeh, A Moeinaddini, A Ghasemzadeh Journal of safety research 77, 151-160, 2021 | 80 | 2021 |
| Drivers’ lane-keeping ability in heavy rain: Preliminary investigation using SHRP 2 naturalistic driving study data A Ghasemzadeh, MM Ahmed Transportation research record 2663 (1), 99-108, 2017 | 70 | 2017 |
| Parametric ordinal logistic regression and non-parametric decision tree approaches for assessing the impact of weather conditions on driver speed selection using naturalistic … A Ghasemzadeh, BE Hammit, MM Ahmed, RK Young Transportation research record 2672 (12), 137-147, 2018 | 68 | 2018 |
| Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: An association rules mining approach A Das, MM Ahmed, A Ghasemzadeh Accident Analysis & Prevention 129, 250-262, 2019 | 61 | 2019 |
| Driver performance and behavior in adverse weather conditions: an investigation using the SHRP2 naturalistic driving study data—phase 1. MM Ahmed, A Ghasemzadeh, H Eldeeb, S Gaweesh, J Clapp, K Ksaibati, ... Wyoming. Department of Transportation, 2015 | 56 | 2015 |
| 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 | 55 | 2018 |
| Exploring factors contributing to injury severity at work zones considering adverse weather conditions A Ghasemzadeh, MM Ahmed IATSS research 43 (3), 131-138, 2019 | 49 | 2019 |
| Evaluation of weather-related freeway car-following behavior using the SHRP2 naturalistic driving study database BE Hammit, A Ghasemzadeh, RM James, MM Ahmed, RK Young Transportation research part F: traffic psychology and behaviour 59, 244-259, 2018 | 49 | 2018 |
| Quantifying regional heterogeneity effect on drivers’ speeding behavior using SHRP2 naturalistic driving data: A multilevel modeling approach A Ghasemzadeh, MM Ahmed Transportation Research Part C: Emerging Technologies 106, 29-40, 2019 | 36 | 2019 |
| Complementary methodologies to identify weather conditions in naturalistic driving study trips: Lessons learned from the SHRP2 naturalistic driving study & roadway information … A Ghasemzadeh, BE Hammit, MM Ahmed, H Eldeeb Safety Science 119, 21-28, 2019 | 29 | 2019 |
| 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 | 24 | 2017 |
| Exploring the impacts of adverse weather conditions on speed and headway behaviors using the SHRP2 naturalistic driving study data MM Ahmed, A Ghasemzadeh Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 21 | 2017 |
| Complementary parametric probit regression and nonparametric classification tree modeling approaches to analyze factors affecting severity of work zone weather-related crashes A Ghasemzadeh, MM Ahmed Journal of Modern Transportation, 1-12, 2018 | 16 | 2018 |
| A tree-based ordered probit approach to identify factors affecting work zone weather-related crashes severity in North Carolina using the highway safety information system dataset A Ghasemzadeh, MM Ahmed Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 14 | 2017 |
| Crash characteristics and injury severity at work zones considering adverse weather conditions in Washington using SHRP 2 roadway information database A Ghasemzadeh, MM Ahmed Transportation Research Board 95th Annual MeetingTransportation Research Board, 2016 | 13 | 2016 |
| A probit-decision tree approach to analyze effects of adverse weather conditions on work zone crash severity using second strategic highway research program roadway information … A Ghasemzadeh, MM Ahmed Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 12 | 2017 |
| A comprehensive analysis of driver lane-keeping performance in fog weather conditions using the SHRP2 naturalistic driving study data A Das, A Ghasemzadeh, MM Ahmed Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 8 | 2018 |
Mohamed M. Ahmed, PhD, PE, M.ASCEProfessor and Director, University of CincinnatiDirección de correo verificada de knights.ucf.edu
