Alexander, P. D., and D. V. L. Haley. (2013). Crossing Safety System. U.S. Patent Application Publication (10) Pub. No. US 2013/0200223 A1.
Blacketer, R., J. R. Zaworski, and K. M. Hunter-Zaworski. (2005). Field Testing of Intrusion Detection Technologies for High-Speed Rail Crossings. Transportation Research Record: Journal of the Transportation Research Board, No. 1918: 10–17. https://doi.org/10.1177/0361198105191800102.
BriefCam. (2023). BriefCam Company Website. https://www.briefcam.com/.
Carroll, A. A., and J. D. Warren. (2002). Photo Enforcement at Highway–Rail Grade Crossings in the United States: July 2000–July 2001. Transportation Research Record: Journal of the Transportation Research Board, No. 1801: 46–53. https://doi.org/10.3141/1801-06.
Chen, Y., and L. R. Rilett. (2017). Train Data Collection and Arrival Time Prediction System for Highway–Rail Grade Crossings. Transportation Research Record: Journal of the Transportation Research Board, No. 2608: 36–45. https://doi.org/10.3141/2608-05.
Code of Federal Regulations (CFR). (2024). Title 49, Part 673—Public Transportation Agency Safety Plans. https://www.ecfr.gov/current/title-49/subtitle-B/chapter-VI/part-673.
Courage, K., and B. Kirkpatrick. (2003). Development and Deployment of a Portable Highway-Railroad Grade Crossing Surveillance System. Volume III: Video-Based Studies of Highway-Railroad Grade Crossings in the South Florida Railroad Corridor. https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/content/rail/publications/studies/safety/vidbase/hwyrrgradexingsrev/bd243-vol3-color.pdf?sfvrsn=2f7f4961_0.
Courage, K., and B. Ko. (2003). Development and Deployment of a Portable Highway-Railroad Grade Crossing Surveillance System. Volume I: A Portable Highway-Railroad Grade Crossing Surveillance System for Operational and Safety Studies. https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/content/rail/publications/studies/safety/vidbase/flextrafsep/bd243_vo1.pdf?sfvrsn=2c05d9ab_0.
Department of Homeland Security (DHS). (2002). Homeland Security Act of 2002. https://www.dhs.gov/homeland-security-act-2002.
Fayyaz, M. A. B., A. C. Alexoulis-Chrysovergis, M. J. Southgate, and C. Johnson. (2021). A Review of the Technological Developments for Interlocking at Level Crossing. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. Vol. 235, No. 4, Pages 529–539. doi:10.1177/0954409720941726.
Federal Railroad Administration (FRA). (2007). Collision Hazard Analysis Guide: Commuter and Intercity Passenger Rail Service. U.S. Department of Transportation, Washington, DC.
Federal Railroad Administration (FRA). (2018). Accident Query. Office of Safety Analysis, U.S. Department of Transportation, Washington, DC. https://safetydata.fra.dot.gov/OffiofSafety/Default.aspx.
Federal Railroad Administration (FRA). (2019a). Highway-Rail Grade Crossing and Trespass Prevention: Compliance, Procedures, and Programs Manual. U.S. Department of Transportation, Washington, DC.
Federal Railroad Administration (FRA). (2019b). Hazard Management versus Safety Risk Management Guide. U.S. Department of Transportation, Washington, DC.
Federal Railroad Administration (FRA). (2019c). Guide to Developing the Safety Risk Management Component of a Public Transportation Agency Safety Plan. U.S. Department of Transportation, Washington, DC.
Federal Transit Administration (FTA). (2018). National Transit Database (NTD). https://www.transit.dot.gov/ntd.
Federal Transit Administration (FTA). (2019). Sample Hazard Classification System—Public Transportation Agency Safety Plan (PTASP) Implementation, Version 1. U.S. Department of Transportation, Washington, DC.
Federal Transit Administration (FTA). (2020). National Transit Database 2020 Policy Manual. U.S. Department of Transportation, Washington, DC.
Federal Transit Administration (FTA). (2021). Rail Transit Safety Data Report 2007–2018. https://www.transit.dot.gov/sites/fta.dot.gov/files/2021-09/Rail-Safety-Data-Report-2007-2018-09-23-2021.pdf.
Goolsby, N.E., M. J. Vickich, and A. P. Voigt. (2003). Railroad Grade Crossing Monitoring System. https://static.tti.tamu.edu/tti.tamu.edu/documents/408870-1.pdf.
Heathington, K. W., D. B. Fambro, and S. H. Richards. (2013). Field Evaluation of a Four-Quadrant Gate System for Use at Railroad Highway Grade Crossings. Transportation Research Record, No. 1244: 39–51.
Herr, J. (2023). West Springfield Rail Crossing Traffic Alert System. Presentation at 2023 ITE Northeastern District Annual Meeting, Burlington, VT, May 10–12, 2023.
Illinois Commerce Commission (ICC). (2002). Photo Enforcement at Highway-Rail Grade Crossings: 2001 Status Report to The General Assembly. https://www.icc.illinois.gov/downloads/public/rr/0502_Photo%20Enforcement_Followup%20Report.pdf.
Infinova. (2023). https://www.infinova.com/.
Island Radar. (2023). https://www.islandradar.com/.
Khattak, A. J. (2007). Reducing Undesirable Actions of Motor Vehicle Drivers at Railroad–Highway Grade Crossings. Transportation Research Record: Journal of the Transportation Research Board, No. 2030: 54–58. https://doi.org/10.3141/2030-08.
Khattak, A. J. (2009). Comparison of Driver Behavior at Highway–Railroad Crossings in Two Cities. Transportation Research Record: Journal of the Transportation Research Board, No. 2122: 72–77. https://doi.org/10.3141/2122-09.
Khattak, A., and Z. Luo. (2011). Pedestrian and Bicyclist Violations at Highway–Rail Grade Crossings. Transportation Research Record: Journal of the Transportation Research Board, No. 2250: 76–82. https://doi.org/10.3141/2250-10.
Ko, B., K. Courage, and M. Willis. (2003). Development and Deployment of a Portable Highway-Railroad Grade Crossing Surveillance System. Volume II: Video-Based Studies of Flexible Traffic Separators at Highway-Railroad Grade Crossings. Report No. UFTRC 891-2. https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/content/rail/publications/studies/safety/vidbase/flextrafsep/qwikkurbfull.pdf?sfvrsn=10de0037_0.
LBFoster. (2023). Grade Crossing Monitor. https://lbfoster.com/rail/technology-solutions/monitoring.
Lee, M., and A. J. Khattak. (2016). Application of Light Detection and Ranging Technology to Assess Safe Passage of Low-Ground-Clearance Vehicles at Highway–Rail Grade Crossings. Transportation Research Record: Journal of the Transportation Research Board, No. 2545: 131–139. https://doi.org/10.3141/2545-14.
Maier, P., and J. Malone. (2001). TCRP Synthesis 38: Electronic Surveillance Technology on Transit Vehicles. TRB, National Research Council, Washington, DC.
Medina, J. C., A. Hajbabaie, and R. F. Benekohal. (2011). Detection Performance of Wireless Magnetometers at Signalized Intersection and Railroad Grade Crossing under various Weather Conditions. Transportation Research Record: Journal of the Transportation Research Board, No. 2259: 233–241. https://doi.org/10.3141/2259-22.
Medina, J. C., and R. F. Benekohal. (2015). Macroscopic Models for Accident Prediction at Railroad Grade Crossings: Comparisons with U.S. Department of Transportation Accident Prediction Formula. Transportation Research Record: Journal of the Transportation Research Board, No. 2476: 85–93. https://doi.org/10.3141/2476-12.
Medina, J. C., and R. F. Benekohal. (2016). Microwave Radar Vehicle Detection Performance at Railroad Grade Crossings with Quad Gates in Normal and Adverse Weather Conditions. Transportation Research Record: Journal of the Transportation Research Board, No. 2545: 123–130. https://doi.org/10.3141/2545-13.
Metra. (2023). Metra System Map. https://metra.com/sites/default/files/assets/metra_systemmap11292016.pdf.
Metro North. (2023). Metro-North Railroad Map. https://new.mta.info/map/5351.
Nakanishi, Y. (2009). TCRP Synthesis 80: Transit Security Update. Transportation Research Board of the National Academies, Washington, DC.
National Joint Committee on Uniform Traffic Control Devices (NCUTCD). (2009). Manual on Uniform Traffic Control Devices for Streets and Highways. Federal Highway Administration. Washington, DC.
National Joint Committee on Uniform Traffic Control Devices (NCUTCD). (2023). Manual on Uniform Traffic Control Devices for Streets and Highways. 11th Edition. Federal Highway Administration. Washington, DC.
Needle J. A., and R. M. Cobb. (1997). TCRP Synthesis 21: Improving Transit Security. TRB, National Research Council, Washington, DC.
Network Rail. (2023). https://www.networkrail.co.uk/.
Nokia. (2023). https://www.nokia.com/.
Nunes, L., L. Rangwala, and M. Pai. (2021). Mainstreaming Photo- and Video-Based Documentation as Method for Establishing a Level of Service Framework for the Mumbai Suburban Railway System. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2675, No. 12: 175–185. https://doi.org/10.1177/03611981211028606.
Ogden, B. D., and C. Cooper. (2019). Highway-Rail Crossing Handbook. Federal Highway Administration (FHWA), Washington, DC.
Okorodudu, F. O., P. O. Okorodudu, and L. O. Atumah. (2018). A Novel Approach to Road Traffic Monitoring and Control System. International Journal of Multidisciplinary Sciences and Engineering, Vol. 9, No. 1.
ONYX. (2023). Rail Safety Systems - Automated Hazard Detection Systems. https://onyx-rail.com/.
Pamuła, T., and W. Pamuła. (2021). Detection of Safe Passage for Trains at Rail Level Crossings Using Deep Learning. Sensors, Vol. 21, No. 18: 6281. https://doi.org/10.3390/s21186281.
Qian, Y., Y. Wang, D. Rizos, C. Farkas, and C. Huang. (2022). Intelligent Crossing Assessment and Traffic Sharing System (i-CATSS). DOT/FRA/ORD-22/15. Federal Railroad Administration (FRA), U.S. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/61428.
Rempel, G., N. Ternowetsky, M. Reimer, and C. Bian. (2019). System to Provide Real-time Railroad Grade Crossing Information to Support Traffic Management Decision-making. Patent US 20190145791 A1.
Schulz, D. M., and S. Gilbert. (2011). TCRP Synthesis 90: Video Surveillance Uses by Rail Transit Agencies. Transportation Research Board of the National Academies, Washington, DC. https://doi.org/10.17226/14564.
Security Informed. (2022). Milestone Provides Video Management Software Solution To Enhance Security For Utah Transit Authority (UTA). https://www.securityinformed.com/news/milestone-video-management-software-solution-enhance-co-227-ga-co-1151-ga-co-6080-ga-co-6254-ga-co-10265-ga.1664533978.html?utm_source=SSc%20International%20Edition&utm_medium=Redirect&utm_campaign=International%20Redirect%20Popup.
Sheikh, Y. A., Y. Zhai, K. Shafique, and M. A. Shah. (2004). Visual Monitoring of Railroad Grade Crossing. SPIE Proceedings Volume 5403, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III. https://doi.org/10.1117/12.542369.
Sick (Sensor Intelligence). (2023). Train Level Crossing Monitoring. https://www.sick.com/dk/en/industries/mining/open-cut-surface-mining/material-handling/rail/train-level-crossing-monitoring/c/p362255.
Simmons, L. (2007). System Engineering for Intelligent Transportation Systems. Federal Highway Administration (FHWA) / Federal Transit Administration (FTA), Report Number: FHWA-HOP-07-069. https://rosap.ntl.bts.gov/view/dot/42529.
Steffen, M. W. and B. W. Isaacson. (2013). Methods and System for Crossing Prediction. Patent US 20130270395 A1.
Stevenson, B., and P. Calixto. (2006). Railroad Crossing Surveillance and Detection System. Patent US 2007/0040070 A1. https://patents.google.com/patent/US20070040070A1/en.
Tackett, R. (2018). UTA Secures its Services with Safety Vision. Bus Ride. https://safety-vision-public.s3.us-east-2.amazonaws.com/Safety_Vision_Field_Test_0_4a02c7b5e4.pdf.
Tang, Y., Y. Wang, and Y. Qian. (2023). Railroad Crossing Surveillance and Foreground Extraction Network: Weakly Supervised Artificial-Intelligence Approach. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2677, No. 9: 525–538. https://doi.org/10.1177/03611981231159406.
Thomson, B., I. Matos, and J. Previdi. (2016). TCRP Synthesis 123: Onboard Camera Applications for Buses. Transportation Research Board, Washington, DC.
TRAINFO. (2023). https://trainfo.ca/.
Tung, L.-W., and A. Khattak. (2015). Distracted Motor Vehicle Driving at Highway–Rail Grade Crossings. Transportation Research Record: Journal of the Transportation Research Board, No. 2476: 77–84. https://doi.org/10.3141/2476-11.
Utah Transit Authority (UTA). (2024). UTA Rail Map. https://www.rideuta.com/-/media/RideUTA/Maps/UTA_RAIL_Map.ashx.
Verra Mobility. (2023). Verra Mobility Company Website. https://www.verramobility.com/.
Voestalpine. (2023). RXM Rail Crossing Monitoring. https://www.voestalpine.com/railway-systems/en/products/rxm-rail-crossing-monitoring/.
Warner, J. E., D. Lee, A. B. Trueblood, J. C. Cline, Jr., N. A. Johnson, and A. Christjoy. (2022a). TCRP Research Report 233: Strategies for Deterring Trespassing on Rail Transit and Commuter Rail Rights-of-Way, Volume 1: Guidebook. Transportation Research Board, Washington, DC. https://doi.org/10.17226/26504.
Warner, J. E., D. Lee, A. B. Trueblood, J. C. Cline, Jr., N. A. Johnson, and A. Christjoy. (2022b). TCRP Research Report 233: Strategies for Deterring Trespassing on Rail Transit and Commuter Rail Rights-of-Way, Volume 2: Research Overview. Washington, DC: The National Academies Press. https://doi.org/10.17226/26503.
Zaman, A., X. Liu, and Z. Zhang. (2018). Video Analytics for Railroad Safety Research: An Artificial Intelligence Approach. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2672, No. 10: 269–277. https://doi.org/10.1177/0361198118792751.
Zaman, A., B. Ren, and X. Liu. (2019). Artificial Intelligence-Aided Automated Detection of Railroad Trespassing. Transportation Research Record: Journal of Transportation Research Board, Vol. 2673, No. 7: 25–37. https://doi.org/10.1177/0361198119846468.
Zaman, A., Z. Huang, W. Li, H. Qin, D. Kang, and X. Liu. (2023). An Artificial Intelligence-Aided System for Automated Trespassing Detection. Draft Final Report. Rutgers Center for Advanced Infrastructure and Transportation. Piscataway, NJ.
Zhang, Z., C. Trivedi, and X. Liu. (2017). Automated Detection of Grade-Crossing-Trespassing Near Misses Based on Computer Vision Analysis of Surveillance Video Data. Safety Science, Vol. 110, Part B: 276–285. https://doi.org/10.1016/j.ssci.2017.11.023.