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Safety and operational assessment of cooperative driving systems on roundabouts

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a simulation-driven method for assessing the safety and efficiency of traffic at roundabouts incorporating connected and automated vehicle (CAV) technology. Utilizing the newly proposed CAV-based factors specified by the Highway Capacity Manual (HCM) provided a practical framework for analyzing capacity dynamics across various traffic scenarios. Using microscopic traffic simulation on a roundabout model replicating real-world geometry and traffic attributes facilitated the identification of crucial behavioral parameters. This simulation spanned from smooth traffic scenarios to operational saturation, aiding in the study of mixed traffic scenarios during the transition to increasing CAV presence. Additionally, the study assessed the safety and traffic impact of a dedicated CAV lane using surrogate safety metrics. Aimsun software aided in model parameter calibration, which, combined with the Surrogate Safety Assessment Model (SSAM), supported safety analysis. Despite observed enhancements in roundabout performance with CAV integration, the benefits of a designated CAV lane highlighted the potential to reduce conflicts among vehicles. In conclusion, the paper emphasizes the overall performance enhancement achieved with CAVs at roundabouts while also providing insights for evaluating the potential of CAV technologies in future mobility management strategies.
Czasopismo
Rocznik
Strony
123--135
Opis fizyczny
Bibliogr. 31 poz.
Twórcy
  • University of Palermo, Department of Engineering, Viale delle Scienze Ed. 8, Palermo, 90128, Italy
  • Silesian University of Technology, Faculty of Transport and Aviation Engineering, Krasińskiego 8, Katowice, 40-019, Poland;
autor
  • University of Palermo, Department of Engineering, Viale delle Scienze Ed. 8, Palermo, 90128, Italy
  • University of Enna Kore, Faculty of Engineering and Architecture, Cittadella Universitaria, EN, Enna, 94100, Italy
Bibliografia
  • 1. Matin, A. & Dia, H. Impacts of Connected and Automated Vehicles on Road Safety and Efficiency: A Systematic Literature Review. IEEE Transactions on Intelligent Transportation Systems. 2023. Vol. 24. No. 3. P. 2705-2736.
  • 2. Parekh, D. & Poddar, N. & Rajpurkar, A. & Chahal, M. & Kumar, N. & Joshi, G.P. & Cho, W. A review on autonomous vehicles: Progress, methods and challenges. Electronics. 2022. Vol. 11. P. 2162. DOI: 10.3390/electronics11142162.
  • 3. National Academies of Sciences, Engineering, and Medicine. Highway Capacity Manual 7th Edition: A Guide for Multimodal Mobility Analysis. Washington: The National Academies Press. 2022.
  • 4. Ma, C. & Yu, C. & Yang, X. Trajectory planning for connected and automated vehicles at isolated signalized intersections under mixed traffic environment. Transportation Research Part C: Emerging Technologies. 2021. Vol. 130. 103309. DOI: 10.1016/j.trc.2021.103309.
  • 5. Wu, R. & Jia, H. & Yang, L. & Miao, H. & Lin, Y. & Zhang, Y. A distributed trajectory control strategy for the connected automated vehicle in an isolated roundabout. IET Intelligent Transport Systems. 2022. Vol. 16. No. 2. P. 232-251.
  • 6. Jalil, K. & Xia, Y. & Zahid, M.N. & Manzoor, T. A Speed Optimization Strategy for Smooth Merging of Connected and Automated Vehicles at T-Shape Roundabout. IEEE Access. 2022. Vol. 10. P. 76953-76965.
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  • 10. Shetty, A. & Yu, M. & Kurzhanskiy, A. & Grembek, O. & Tavafoghi, H. & Varaiya, P. Safety challenges for autonomous vehicles in the absence of connectivity. Transportation Research Part C: Emerging Technologies. 2021. Vol. 128. No. 103133.
  • 11. Tumminello, M.L. & Macioszek, E. & Granà, A. & Giuffrè, T. A methodological framework to assess road infrastructure safety and performance efficiency in the transition toward cooperative driving. Sustainability. 2023. Vol. 15. P. 9345.
  • 12. Anagnostopoulos, A. & Kehagia, F. CAVs and roundabouts: Research on traffic impacts and design elements. Transportation Research Procedia. 2020. Vol. 49. P. 83-94.
  • 13. Lindov, O. & Omerhodzić, A. Implementation of smart road technologies in the function of road traffic safety management. In: Karabegovic, I. & Kovacević, A. & Mandzuka, S. (eds). New Technologies, Development and Application VI. NT 2023. Lecture Notes in Networks and Systems. Springer, Cham. 2023. Vol. 687. P. 621-627.
  • 14. Raju, N. & Farah, H. Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles. Journal of Advanced Transportation. 2021. Art. ID 2444363. P. 1-29.
  • 15. Martin-Gasulla, M. & Elefteriadou, L. Traffic management with autonomous and connected vehicles at single-lane roundabouts. Transportation Research Part C: emerging technologies. 2021. Vol. 125. P. 1-22.
  • 16. Tumminello, M.L. & Macioszek, E. & Granà, A. & Giuffrè, T. Simulation-based analysis of "What-If" Scenarios with connected and automated vehicles navigating roundabouts. Sensors. 2022. Vol. 22. No. 17. P. 1-30.
  • 17. Tarko, A.P. Measuring Road Safety with Surrogate Events. 1st Edition. Elsevier. 2019. P. 304.
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  • 19. Giuffrè, O. & Granà, A. & Tumminello, M.L. & Giuffrè, T. & Trubia, S. Surrogate measures of safety at roundabouts in AIMSUN and VISSIM environment. In: Roundabouts as Safe and Modern Solutions in Transport Networks and Systems. Lecture Notes in Network and Systems. Springer. Cham. 2019. Vol. 52. P. 53-64.
  • 20. SSAM. Surrogate safety assessment model and validation: Final Report. Available at: https://www.fhwa.dot.gov/publications/research/safety/08051/index.cfm.
  • 21. National Academies of Sciences, Engineering, and Medicine. Roundabouts: An Informational Guide. 2nd ed. Washington: The National Academies Press. 2010. 393 p.
  • 22. TSS-Transport Simulation Systems. Aimsun Next. 2020. Version 20 Dynamic Simulator User Manual. Barcelona: TSS-Transport Simulation Systems. 2020.
  • 23. The Society of Automotive Engineers International. SAE J3016_202104. Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems. Warrendale: The Society of Automotive Engineers International. 2014.
  • 24. Giuffrè, O. & Granà, A. & Giuffrè, T. & Acuto, F. & Tumminello, M.L. Estimating pollutant emissions based on speed profiles at urban roundabouts: A pilot study. In: Smart and Green Solutions for Transport Systems. Advances in Intelligent Systems and Computing. Springer Cham. 2019. Vol. 1091. P. 184-200.
  • 25. Barceló, J. Fundamentals of Traffic Simulation. London: Springer. 2010.
  • 26. Giuffrè, O. & Granà, A. & Tumminello, M.L. & Sferlazza. A. Capacity-based calculation of passenger car equivalents using traffic simulation at double-lane roundabouts. Simulation Modelling Practice and Theory. 2018. Vol. 81. P. 11-30.
  • 27. Macioszek, E. & Kang, N. Assessment of psychotechnical parameters of vehicle drivers on the roundabout at Hitachi Taga (Japan). Scientific Journal of Silesian University of Technology. Series Transport. 2019. Vol. 93. P. 11-22.
  • 28. Gipps, P.G. Behavioural Car-Following Model for Computer Simulation. Transportation Research Part B: Methodological. 1981. Vol. 15. No. 2. P. 105-111.
  • 29. Giuffrè, T. & Granà, A. & Trubia, S. Safety evaluation of turbo-roundabouts with and without internal traffic separations considering autonomous vehicles operation. Sustainability. 2021. Vol. 13. No. 16. P. 1-14.
  • 30. Guerrieri, M. A theoretical model for evaluating the impact of connected and autonomous vehicles on the operational performance of turbo roundabouts. International Journal of Transportation Science and Technology. 2023. DOI: 10.1016/j.ijtst.2023.05.001.
  • 31. Granà, A. & Curto, S. & Petralia, A. & Giuffrè, T. Connected Automated and Human-Driven Vehicle Mixed Traffic in Urban Freeway Interchanges: Safety Analysis and Design Assumptions. Vehicles. 2024. Vol. 6. P. 693-710. DOI: 10.3390/vehicles6020032.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-110ff940-bcad-411f-8086-fbc9e6ebb1b3
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