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A Holistic Analysis of Train-Vehicle Accidents at Highway-Rail Grade Crossings in Florida

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  • Prashant Singh

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University (FAMU-FSU) College of Engineering, 2525 Pottsdamer Street, Building A, Suite A124, Tallahassee, FL 32310-6046, USA)

  • Junayed Pasha

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University (FAMU-FSU) College of Engineering, 2525 Pottsdamer Street, Building A, Suite A124, Tallahassee, FL 32310-6046, USA)

  • Amir Khorram-Manesh

    (Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Sahlgrenska University Hospital, Blå Stråket 5B, 413 45 Gothenburg, Sweden)

  • Krzysztof Goniewicz

    (Department of Aviation Security, Military University of Aviation, Dywizjonu 303 Street, no 35, 08-521 Deblin, Poland)

  • Abdolreza Roshani

    (Department of Industrial Engineering, Kermanshah University of Technology, Kermanshah 6715685420, Iran)

  • Maxim A. Dulebenets

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University (FAMU-FSU) College of Engineering, 2525 Pottsdamer Street, Building A, Suite A124, Tallahassee, FL 32310-6046, USA)

Abstract

Highway-rail grade crossing (HRGC) accidents pose a serious risk of safety to highway users, including pedestrians trying to cross HRGCs. A significant increase in the number of HRGC accidents globally calls for greater research efforts, which are not limited to the analysis of accidents at HRGCs but also understanding user perception, driver behavior, potential conflicting areas at crossings, effectiveness of countermeasures and user perception towards them. HRGC safety is one of the priority areas in the State of Florida, since the state HRGCs experienced a total of 429 injuries and 146 fatalities between 2010 and 2019 with a significant increase in HRGC accidents over the last years. The present study aims to conduct a comprehensive analysis of the HRGCs that experienced accidents in Florida over the last years. The databases maintained by the Federal Rail Administration (FRA) are used to gather the relevant information for a total of 578 crossings that experienced at least one accident from 2010 to 2019. In contrast with many of the previous efforts, this study investigates a wide range of various factors, including physical and operational characteristics of crossings, vehicle and train characteristics, spatial characteristics, temporal and environmental characteristics, driver actions and related characteristics, and other relevant information. The outcomes of this research will help better understanding the major causes behind accidents at the HRGCs in the State of Florida in a holistic way by considering a variety of relevant factors, which will assist the appropriate stakeholders with implementation of safety improvement projects across the state.

Suggested Citation

  • Prashant Singh & Junayed Pasha & Amir Khorram-Manesh & Krzysztof Goniewicz & Abdolreza Roshani & Maxim A. Dulebenets, 2021. "A Holistic Analysis of Train-Vehicle Accidents at Highway-Rail Grade Crossings in Florida," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:8842-:d:610334
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    References listed on IDEAS

    as
    1. Junayed Pasha & Maxim A. Dulebenets & Olumide F. Abioye & Masoud Kavoosi & Ren Moses & John Sobanjo & Eren E. Ozguven, 2020. "A Comprehensive Assessment of the Existing Accident and Hazard Prediction Models for the Highway-Rail Grade Crossings in the State of Florida," Sustainability, MDPI, vol. 12(10), pages 1-27, May.
    2. Khattak, Aemal & Tung, Li-Wei, 2015. "Severity of Pedestrian Crashes at Highway-Rail Grade Crossings," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 54(2).
    3. Masoud Kavoosi & Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Ren Moses & John Sobanjo & Eren E. Ozguven, 2020. "Development of Algorithms for Effective Resource Allocation among Highway–Rail Grade Crossings: A Case Study for the State of Florida," Energies, MDPI, vol. 13(6), pages 1-28, March.
    4. Fan, Wei & Kane, Martin R. & Haile, Elias, 2015. "Analyzing Severity of Vehicle Crashes at Highway-Rail Grade Crossings: Multinomial Logit Modeling," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 54(2).
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    Cited by:

    1. Singh, Prashant & Pasha, Junayed & Moses, Ren & Sobanjo, John & Ozguven, Eren E. & Dulebenets, Maxim A., 2022. "Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    2. Yan, Dongyang & Li, Keping & Zhu, Qiaozhen & Liu, Yanyan, 2023. "A railway accident prevention method based on reinforcement learning – Active preventive strategy by multi-modal data," Reliability Engineering and System Safety, Elsevier, vol. 234(C).

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