TRB Papers
* Underlined names show advised/co-advised students
1. Marshall, E., Shirazi, M., & Ivan, J. (January 2024). COVID-19 and Roadway Safety: Review of Studies, Lessons learned, and Research Gaps. 103rd Annual Meeting of Transportation Research Board (TRB), Washington DC.
2. Ahen, Z., Shirazi, M., Corry, P., & Paz, A. (January 2024). An Efficient Optimization Framework for Estimating Crash Data Count Models: Addressing Complexity, Heterogeneity, and Multiple Objectives. 103rd Annual Meeting of Transportation Research Board (TRB), Washington DC.
3. Marshall, E., Shirazi, M., & Ivan, J. (January 2024). Exploring the Long-Term Effects of the COVID-19 Pandemic on Crash Occurrence. 103rd Annual Meeting of Transportation Research Board (TRB), Washington DC.
4. Gil-Marin., J. K., & Shirazi, M. (January 2023). Comparative Analysis of Negative Binomial and Negative Binomial-Lindley Models in Crash Hotspot Identification. 102nd Annual Meeting of Transportation Research Board, Washington DC.
5. Marshall, E., Shirazi, M., Shahlaee, A., & Ivan, J.N. (January 2023) Leveraging Probe Data to Model Speeding on Urban Limited Access Highway Segments during the COVID-19 Pandemic. 102nd Annual Meeting of Transportation Research Board, Washington DC.
6. Blair, M. Shirazi, M., & Geedipally S.R. (January 2023) Exploring the Impact of Different Parameterizations on Developing Calibration Functions. 102nd Annual Meeting of Transportation Research Board, Washington DC.
7. Islam, A. M., Shirazi, M., & Lord, D. (January 2023). Accounting for Regional Heterogeneity in Crash Data with Excess Zero Observations: A Grouped Random Parameters Negative Binomial-Lindley Approach. 102nd Annual Meeting of Transportation Research Board, Washington DC.
8. Sawtelle, A., Shirazi, M., Garder., P.E., & Rubin., J. (January 2023). Severity of Lane Departure Crashes in Maine: Examining the Impact of Driver, Roadway, and Weather Factors. 102nd Annual Meeting of Transportation Research Board, Washington DC.
9. Shahlaee, A., Shirazi, M., Marshall, E., & Ivan, J. N. (January 2023). Modeling the impact of the COVID-19 pandemic on speeding at rural roadway facilities in Maine using short-term speed and traffic count data. 102nd Annual Meeting of Transportation Research Board, Washington DC.
10. Khodadadi*, A., Tsapakis, I., Shirazi, M., Das, S., Lord, D. (January 2023). Empirical Bayes estimate of the Negative Binomial-Lindley model applicable to all Poisson-compound distributions used in traffic safety. 102nd Annual Meeting of Transportation Research Board, Washington DC.
11. Islam, M, Shirazi, M., & Lord, D (January 2022), Finite Mixture Negative Binomial-Lindley for Modeling Heterogeneous Crash Data with Many Zero Observations, 101st Annual Meeting of Transportation Research Board, Washington DC.
12. Khodadadi*, A., Shirazi, M., Geedipally, S.G., & Lord, D. (January 2022). A Comparative Study to Evaluate the Application of Different Negative Binomial-Lindley Variations in Crash Data Modeling, 101st Annual Meeting of Transportation Research Board, Washington DC.
13. Shirazi, M., & Geedipally, S.R. (January 2022) Is Using a Calibration Function Better than the Scalar Factor when Calibrating Safety Performance Functions? 101st Annual Meeting of Transportation Research Board, Washington DC.
14. Shirazi, M., Geedipally, S.R., & Lord, D. (January 2020). A Simulation Analysis to Study the Temporal and Spatial Aggregations of Safety Datasets with Excess Zero Observations. 99th Annual Meeting of Transportation Research Board, Washington DC.
15. Pratt, M., Geedipally, S.R., Dadashova, B., Wu, L., & Shirazi, M. (January 2019). Familiar versus Unfamiliar drivers, a Naturalistic Study. 98th Annual Meeting of Transportation Research Board, Washington DC.
16. Shirazi, M., & Lord, D. (January 2018). Characteristics-based heuristics to select a logical distribution between the Poisson-gamma and the Poisson-lognormal for crash data modeling. 97th Annual Meeting of Transportation Research Board, Washington DC.
17. Shaon, M.R.R., Qin, X., Shirazi, M., Lord, D., & Geedipally, S. R. (January 2018). Developing a random parameters Negative Binomial-Lindley model to analyze highly over-dispersed crash count data. 97th Annual Meeting of Transportation Research Board, Washington DC.
18. Pratt, M., Geedipally, S.R., Dadashova, B., Wu, L., & Shirazi, M. (January 2018). Validating curve speed prediction models using naturalistic data. 97th Annual Meeting of Transportation Research Board, Washington DC.
19. Wu, L., Dadashova, B., Geedipally, S.R., Pratt, M., & Shirazi, M. (January 2018). Assessing curve severity and crash occurrence at horizontal curves on rural two-lane highways using SHRP 2 safety data. 97th Annual Meeting of Transportation Research Board, Washington DC.
20. Shirazi, M., Geedipally, S.R., & Lord, D. (January 2017). A Monte-Carlo simulation analysis for evaluating the severity distribution functions (SDFs) calibration methodology and determining the minimum sample-size requirements. 96th Annual Meeting of Transportation Research Board, Washington DC.
21. Geedipally, S.R., Shirazi, M., & Lord, D. (January 2017). Exploring the need for having region-specific calibration factors. 96thAnnual Meeting of Transportation Research Board, Washington DC.
22. Shirazi, M., Aashtiani, H.Z., & Quadrifoglio, L. (January 2016). A penalty function method for finding minimal revenue tolls in large Scale networks. 95th Annual Meeting of the Transportation Research Board, Washington DC
23. Shirazi, M, Lord, D., & Geedipally, S.R. (January 2016). Sample-size guidelines for recalibrating crash prediction models: Recommendations for the Highway Safety Manual. 95th Annual Meeting of the Transportation Research Board, Washington DC.
