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Tytuł artykułu

Simulating vehicle-to-vehicle communication at roundabouts

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Smart roads integrate advanced technology to enhance safety, effectiveness, and eco-friendliness, revolutionizing transportation systems. Within this framework, connectivity and automation work together to improve road mobility and energy efficiency. However, there are still uncertainties regarding their effect on road safety and traffic operations, as well as assessment methods, especially for intersections and roundabouts. Navigating roundabouts involves complex decision-making influenced by cooperative and competitive interactions between human-driven vehicles and connected and autonomous driving vehicles (CADVs), affecting gap-acceptance patterns. This research employs Aimsun Next software to simulate the rising market penetration percentages of CADVs by examining assumption-based behavior on single-lane roundabouts. It integrates CADV-based capacity modification factors from the Highway Capacity Manual 2022 and compares adapted capacity curves for CADVs, with simulated capacities for model calibration. Critical model parameters affecting CADVs' ability to enhance roundabout safety and throughput are identified, with a focus on the transition towards cooperative driving in the context of smart roads.
Czasopismo
Rocznik
Strony
45--57
Opis fizyczny
Bibliogr. 17 poz.
Twórcy
  • Silesian University of Technology, Faculty of Transport and Aviation Engineering; Krasińskiego 8, 40-019 Katowice, Poland
  • University of Palermo, Department of Engineering; Viale delle Scienze Ed.8, 90128, Palermo, Italy
Bibliografia
  • 1. Pompigna, A. & Mauro, R. Smart roads: A state of the art of highways innovations in the Smart Age. Engineering Science and Technology, an International Journal. 2022. Vol. 25. No. 100986. DOI: https://doi.org/10.1016/j.jestch.2021.04.005.
  • 2. The Society of Automotive Engineers International (SAE J3016). Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems. 2014.
  • 3. National Academies of Sciences, Engineering, and Medicine. Highway Capacity Manual. 7th Edition. A Guide for Multimodal Mobility Analysis. The National Academies Press: Washington, DC, USA. 2022.
  • 4. García Cuenca, L. & Sanchez-Soriano, J. & Puertas, E. & Fernandez Andrés, J. & Aliane, N. Machine learning techniques for undertaking roundabouts in autonomous driving. Sensors. 2019. Vol. 19. No. 2386.
  • 5. Tumminello, M.L. & Macioszek, E. & Granà, A. Insights into simulated smart mobility on roundabouts: achievements, lessons learned, and steps ahead. Sustainability. 2024. Vol.16. No. 4079.
  • 6. Šarić, A. & Sulejmanović, S. & Albinović, S. & Pozder, M. & Ljevo, Ž. The role of intersection geometry in urban air pollution management. Sustainability. 2023. Vol. 15. No. 5234.
  • 7. Alozi, A.R. & Hussein, M. Multi-criteria comparative assessment of unconventional roundabout designs. International Journal of Transportation Science and Technology. 2022. Vol. 11. No 1. P. 158-173.
  • 8. Boualam, O. & Borsos, A. & Koren, C. & Nagy, V. Impact of autonomous vehicles on roundabout capacity. Sustainability. 2022. Vol. 14. No. 2203.
  • 9. Acuto, F. & Coelho, M.C. & Fernandes, P. & Giuffrè, T. & Macioszek, E. & Granà, A. Assessing the environmental performances of urban roundabouts using the VSP methodology and AIMSUN. Energies. 2022. Vol. 15. No 1371.
  • 10. Gallelli, V. & Perri, G. & Vaiana, R. Operational and safety management at intersections: can the turbo-roundabout be an effective alternative to conventional solutions? Sustainability. 2021. Vol. 13. No. 5103.
  • 11. Osei, K.K. & Adams, C.A. & Ackaah, W. & Oliver-Commey, Y. Signalization options to improve capacity and delay at roundabouts through microsimulation approach: A case study on arterial roadways in Ghana. Journal of Traffic and Transportation Engineering. 2021. Vol. 8. No. 1. P. 70- 82
  • 12. Zakeri, S. & Choupani, A.A. Operational evaluation of a throughabout to give priority to public transport at standard roundabouts. Journal of Advanced Transportation. 2021. Vol. 2021. No. 1840040.
  • 13. PTV. PTV VISSIM 7 User Manual. PTV AG, Karlsruhe, Germany. 2015.
  • 14. Aimsun Next. Version 20.0. Dynamic Simulator User Manual. Transport Simulation Systems: Barcelona, Spain. 2020.
  • 15. Barceló, J. Fundamentals of Traffic Simulation. Springer: London, UK. 2010.
  • 16. Giuffrè, O. & Granà, A. & Tumminello, M.L. & Sferlazza, A. Estimation of passenger car equivalents for single-lane roundabouts using a microsimulation-based procedure. Exp. Syst. Appl. 2017. Vol. 79. P. 333-347.
  • 17. Gettman, D. & Pu, L. & Sayed, T. & Shelby, S.G. Surrogate Safety Assessment Model and Validation: Final Report. Georgetown Pike (US) Report FHWA HRT 08–051. Federal Highway Administration. Washington, DC, USA. 2008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-75afca0e-c151-4eca-a91a-72a5029644f5
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