{"id":342,"date":"2024-02-19T12:19:24","date_gmt":"2024-02-19T17:19:24","guid":{"rendered":"https:\/\/umaine.edu\/transportlab\/?page_id=342"},"modified":"2024-03-21T23:42:44","modified_gmt":"2024-03-22T03:42:44","slug":"trbs-publication","status":"publish","type":"page","link":"https:\/\/umaine.edu\/transportlab\/trbs-publication\/","title":{"rendered":"TRB"},"content":{"rendered":"

 <\/p>\n

\n
\n

TRB Papers<\/strong><\/h2>\n

* Underlined names show advised\/co-advised students<\/p>\n

\n

1.     Marshall<\/u>, E., Shirazi<\/b>, M., & Ivan, J. (January 2024). COVID-19 and Roadway Safety: Review of Studies, Lessons learned, and Research Gaps. 103rd<\/sup> Annual Meeting of Transportation Research Board (TRB)<\/i>, Washington DC.<\/p>\n

2.     Ahen, Z., Shirazi<\/b>, M., Corry, P., & Paz, A. (January 2024). An Efficient Optimization Framework for Estimating Crash Data Count Models: Addressing Complexity, Heterogeneity, and Multiple Objectives. 103rd<\/sup> Annual Meeting of Transportation Research Board (TRB),<\/i> Washington DC.<\/p>\n

3.     Marshall<\/u>, E., Shirazi<\/b>, M., & Ivan, J. (January 2024). Exploring the Long-Term Effects of the COVID-19 Pandemic on Crash Occurrence. 103rd<\/sup> Annual Meeting of Transportation Research Board (TRB)<\/i>, Washington DC.<\/p>\n

4.     Gil-Marin<\/u>., J. K., & Shirazi<\/b>, M. (January 2023). Comparative Analysis of Negative Binomial and Negative Binomial-Lindley Models in Crash Hotspot Identification. 102nd<\/sup> Annual Meeting of Transportation Research Board, <\/i>Washington DC.<\/p>\n

5.     Marshall<\/u>, E., Shirazi<\/b>, M., Shahlaee<\/u>, A., & Ivan, J.N. (January 2023) Leveraging Probe Data to Model Speeding on Urban Limited Access Highway Segments during the COVID-19 Pandemic. 102nd<\/sup> Annual Meeting of Transportation Research Board, <\/i>Washington DC.<\/p>\n

6.     Blair<\/u>, M. Shirazi<\/b>, M., & Geedipally S.R. (January 2023) Exploring the Impact of Different Parameterizations on Developing Calibration Functions. 102nd<\/sup> Annual Meeting of Transportation Research Board<\/i>, Washington DC.<\/p>\n

7.     Islam<\/u>, A. M., Shirazi<\/b>, 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<\/sup> Annual Meeting of Transportation Research Board, <\/i>Washington DC.<\/p>\n

8.     Sawtelle<\/u>, A., Shirazi<\/b>, 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<\/sup> Annual Meeting of Transportation Research Board<\/i>, Washington DC.<\/p>\n

9.     Shahlaee<\/u>, A., Shirazi<\/b>, M., Marshall<\/u>, 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<\/sup> Annual Meeting of Transportation Research Board<\/i>, Washington DC.<\/p>\n

10.  Khodadadi<\/u>*<\/b>, A., Tsapakis, I., Shirazi<\/b>, 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<\/sup> Annual Meeting of Transportation Research Board<\/i>, Washington DC.<\/p>\n

11.  Islam<\/u>, M, Shirazi<\/b>, 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<\/i>, Washington DC.<\/p>\n

12.  Khodadadi<\/u>*<\/b>, A., Shirazi<\/b>, 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,<\/i> Washington DC.<\/p>\n

13.  Shirazi<\/b>, M., & Geedipally, S.R. (January 2022) Is Using a Calibration Function Better than the Scalar Factor when Calibrating Safety Performance Functions? 101st<\/sup> Annual Meeting of Transportation Research Board<\/i>, Washington DC.<\/p>\n

14.  Shirazi<\/b>, 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<\/sup> Annual Meeting of Transportation Research Board, <\/i>Washington DC.<\/p>\n

15.  Pratt, M., Geedipally, S.R., Dadashova, B., Wu, L., & Shirazi<\/b>, M. (January 2019).  Familiar versus Unfamiliar drivers, a Naturalistic Study. 98th<\/sup> Annual Meeting of Transportation Research Board, <\/i>Washington DC.<\/p>\n

16.  Shirazi<\/b>, 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.<\/p>\n

17.  Shaon, M.R.R., Qin, X., Shirazi, <\/b>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<\/sup> Annual Meeting of Transportation Research Board, <\/i>Washington DC.<\/p>\n

18.  Pratt, M., Geedipally, S.R., Dadashova, B., Wu, L., & Shirazi<\/b>, M. (January 2018). Validating curve speed prediction models using naturalistic data. 97th<\/sup> Annual Meeting of Transportation Research Board<\/i>, Washington DC.<\/p>\n

19.  Wu, L., Dadashova, B., Geedipally, S.R., Pratt, M., & Shirazi<\/b>, M. (January 2018).  Assessing curve severity and crash occurrence at horizontal curves on rural two-lane highways using SHRP 2 safety data. 97th<\/sup> Annual Meeting of Transportation Research Board, <\/i>Washington DC.<\/p>\n

20.  Shirazi<\/b>, 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<\/sup> Annual Meeting of Transportation Research Board,<\/i> Washington DC.<\/b><\/p>\n

21.  Geedipally, S.R., Shirazi<\/b>, M., & Lord, D. (January 2017). Exploring the need for having region-specific calibration factors. 96th<\/sup>Annual Meeting of Transportation Research Board, <\/i>Washington DC.<\/b><\/p>\n

22.  Shirazi<\/b>, M., Aashtiani, H.Z., & Quadrifoglio, L. (January 2016). A penalty function method for finding minimal revenue tolls in large Scale networks. 95th<\/sup> Annual Meeting of the Transportation Research Board, <\/i>Washington DC<\/p>\n

23.  Shirazi<\/b>, M, Lord, D., & Geedipally, S.R. (January 2016). Sample-size guidelines for recalibrating crash prediction models: Recommendations for the Highway Safety Manual. 95th<\/sup> Annual Meeting of the Transportation Research Board, <\/i>Washington DC.<\/p>\n

\n

\"Bar<\/p>\n","protected":false},"excerpt":{"rendered":"

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