1. Lin, C.-Y., X. Liu, and C.P.L. Barkan, Probabilistic modelling of optimal placement strategies of hazardous materials railcars in freight trains. Accident Analysis & Prevention, 2025. 213: p. 107957.
2.
Rahbar, M. and M. Bagheri.
Formulation and Solution of a Risk Assessment Framework to Mitigate the Threat of Rail Transport of Hazardous Materials. 2014. TRB 2014 Annual Meeting,
http://amonline. trb. org/14-1592-1.2485122.
3. Bagheri, M., F.F. Saccomanno, and L. Fu, Effective placement of dangerous goods cars in rail yard marshaling operation. Canadian Journal of Civil Engineering, 2010. 37(5): p. 753-762.
4. Saccomanno, F.F. and S.M. El-Hage, Establishing derailment profiles by position for corridor shipments of dangerous goods. Canadian journal of civil engineering, 1991. 18(1): p. 67-75.
5. Fang, P. and H.D. Reed, Strategic positioning of railroad cars to reduce their risk of derailment, in US DOT Volpe Transportation Systems Center (DOT/TSC), Cambridge, Mass. 1979.
6. Nayak, P.R., D.B. Rosenfield, and J.H. Hagopian, Event probabilities and impact zones for hazardous materials accidents on railroads. 1983.
7. Thompson, R., E. Zamejc, and D. Ahlbeck, Hazardous materials car placement in a train consist. Volume I, Review and analysis. 1992.
8. Bagheri, M., F.F. Saccomanno, and L. Fu. Risk-based model for marshaling dangerous goods railway cars in rail yards. in TRB 2009 - 88th Annual Meeting. 2009.
9. Verma, M., Railroad transportation of dangerous goods: A conditional exposure approach to minimize transport risk. Transportation Research Part C: Emerging Technologies, 2011. 19(5): p. 790-802.
10. Bagheri, M., et al., Reducing the threat of in-transit derailments involving dangerous goods through effective placement along the train consist. Accident Analysis and Prevention, 2011. 43(3): p. 613-620.
11. Bagheri, M., F. Saccomanno, and L. Fu, Modeling hazardous materials risks for different train make-up plans. Transportation Research Part E: Logistics and Transportation Review, 2012. 48(5): p. 907-918.
12. Rahbar, M. and M. Bagheri, Risk Assessment Framework for the Rail Transport of Hazardous Materials:Formulation and Solution. Transportation Research Record, 2014. 2411(1): p. 90-95.
13. Cheng, J., M. Verma, and V. Verter, Impact of train makeup on hazmat risk in a transport corridor. Journal of Transportation Safety and Security, 2017. 9(2): p. 167-194.
14. Hosseini, S.D. and M. Verma, A Value-at-Risk (VAR) approach to routing rail hazmat shipments. Transportation Research Part D: Transport and Environment, 2017. 54: p. 191-211.
15. Hosseini, S.D. and M. Verma, Conditional value-at-risk (CVaR) methodology to optimal train configuration and routing of rail hazmat shipments. Transportation Research Part B: Methodological, 2018. 110: p. 79-103.
16. Hosseini, S.D. and M. Verma, Equitable routing of rail hazardous materials shipments using CVaR methodology. Computers and Operations Research, 2021. 129.
17. Lin, B., et al., Integrating traffic routing optimization and train formation plan using simulated annealing algorithm. Applied Mathematical Modelling, 2021. 93: p. 811-830.
18. Lin, C.Y., et al., General Model of the Effect of Hazardous Materials Car Placement in Trains and their Probability of Derailment, in Transportation Research Record. 2022, SAGE Publications Ltd. p. 28-37.
19. Kang, D., et al., Quantifying the Influence of Tank Car Position and Train Configuration on the Risk of Rail Transport of Class 3 Flammable Liquids. Transportation Research Record, 2024.
20. Fang, K., et al., A value-at-risk based approach to the routing problem of multi-hazmat railcars. European Journal of Operational Research, 2025. 320(1): p. 132-145.