| Understanding crash risk using a multi-level random parameter binary logit model: application to naturalistic driving study data L Hoover, T Bhowmik, S Yasmin, N Eluru Transportation research record 2676 (10), 737-745, 2022 | 4 | 2022 |
| Implementation of a realistic artificial data generator for crash data generation L Hoover, MI Jahan, T Bhowmik, SD Tirtha, KC Konduri, J Ivan, K Wang, ... Accident Analysis & Prevention 200, 107566, 2024 | 1 | 2024 |
| The Effect of Vehicle Mix on Crash Frequency and Crash Severity N Eluru, T Bhowmik, S Pervaz, DA Parvez, L Hoover, M Abdel-Aty, ... NCHRP Research Report, 2024 | 1 | 2024 |
| Development and Application of Crash Severity Models for Highway Safety: User Guidelines JN Ivan, S Zhao, K Wang, J Hossain, N Eluru, M Abdel-Aty, T Bhowmik, ... NCHRP Research Report, 2023 | 1 | 2023 |
| DREDGE (Disaggregate Realistic Artificial Data Generator)—Design, Development, and Application for Crash Safety Analysis, Volume Ⅱ J Sullivan, S Zhao, K Wang, O Olufowobi, N Eluru, T Bhowmik, L Hoover, ... United States. Department of Transportation. Federal Highway Administration …, 2024 | | 2024 |
| Comparing the Performance of Different Missing Data Imputation Approaches in Discrete Outcome Modeling MI Jahan, T Bhowmik, L Hoover, N Eluru Transportation Research Record, 03611981241264278, 2024 | | 2024 |
| User’s Guide for Quantifying the Effects of Vehicle Mix on Crash Frequency and Crash Severity N Eluru, T Bhowmik, S Pervaz, DA Parvez, L Hoover, M Abdel-Aty, ... NCHRP Web-Only Document, 2024 | | 2024 |
| Modeling of Crash Risk for Realistic Artificial Data Generation: Application to Naturalistic Driving Study Data L Hoover | | 2021 |
