| Finite mixture Negative Binomial-Lindley for modeling heterogeneous crash data with many zero observations ASMM Islam, M Shirazi, D Lord Accident Analysis & Prevention 175, 106765, 2022 | 15 | 2022 |
| Grouped Random Parameters Negative Binomial-Lindley for accounting unobserved heterogeneity in crash data with preponderant zero observations ASMM Islam, M Shirazi, D Lord Analytic methods in accident research 37, 100255, 2023 | 14 | 2023 |
| Enhancing Urban Mobility: Exploring the Potential of Exclusive Motorcycle Lane Using VISSIM T Ahmed, LF Chowdhury, MG Sobhani, ASMM Islam, S Al Shafian, ... Journal of Transportation Technologies 13 (4), 644-656, 2023 | 2 | 2023 |
| Accounting for Regional Heterogeneity in Crash Data with Excess Zero Observations: A Grouped Random Parameters Negative Binomial-Lindley Approach ASMM Islam, M Shirazi, D Lord Transportation Research Board (TRB) 102nd Annual Meeting, 2023 | | 2023 |
| Finite mixture Negative Binomial-Lindley for modeling heterogeneous crash data with many zero observations ASMM Islam, M Shirazi, D Lord Transportation Research Board (TRB) 101st Annual Meeting, 2022 | | 2022 |
| Generalizing the Negative Binomial-Lindley Model for Accounting Subpopulation Heterogeneity in Crash Data Analysis ASMM Islam The University of Maine, 2022 | | 2022 |
| Safety Study of Selected Sections of N1 and N5 Highway in Bangladesh Using iRAP Methodology ASMM Islam 70th Maine Transportation Conference, Maine Better Transportation …, 2020 | | 2020 |
| Road Safety Assessment Using RHD Safety Audit Guidelines and iRAP Methodology HM Ahsan, M Almamun, ASMM Islam 4th International Conference on Advances in Civil Engineering 2018 (ICACE 2018), 2018 | | 2018 |
Dominique LordTexas A&M University在 tamu.edu 的电子邮件经过验证
