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A connected and automated vehicle readiness framework to support road authorities for C-ITS services

Author

Listed:
  • Bahman Madadi
  • Ary P. Silvano
  • Kevin McPherson
  • John McCarthy
  • Risto Oorni
  • Gonc{c}alo Homem de Almeida Correiaa

Abstract

Connected and Automated Vehicles (CAVs) can have a profound influence on transport systems. However, most levels of automation and connectivity require support from the road infrastructure. Additional support such as Cooperative Intelligent Transport Systems (C-ITS) services can facilitate safe and efficient traffic, and alleviate the environmental impacts of road surface vehicles. However, due to the rapidly evolving technology, C-ITS service deployment requirements are not always clear. Furthermore, the costs and benefits of infrastructure investments are subject to tremendous uncertainty. This study articulates the requirements using a structured approach to propose a CAV-Readiness Framework (CRF). The main purpose of the CRF is allowing road authorities to assess their physical and digital infrastructure readiness, define requirements for C-ITS services, and identify future development paths to reach higher levels of readiness to support CAVs by enabling C-ITS services. The CRF is intended to guide and support road authorities' investment decisions on infrastructure.

Suggested Citation

  • Bahman Madadi & Ary P. Silvano & Kevin McPherson & John McCarthy & Risto Oorni & Gonc{c}alo Homem de Almeida Correiaa, 2023. "A connected and automated vehicle readiness framework to support road authorities for C-ITS services," Papers 2311.01268, arXiv.org.
  • Handle: RePEc:arx:papers:2311.01268
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    References listed on IDEAS

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    1. Zhang, Fang & Lu, Jian & Hu, Xiaojian & Meng, Qiang, 2023. "Integrated deployment of dedicated lane and roadside unit considering uncertain road capacity under the mixed-autonomy traffic environment," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    2. Chen, Zhibin & He, Fang & Yin, Yafeng & Du, Yuchuan, 2017. "Optimal design of autonomous vehicle zones in transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 44-61.
    3. Tengilimoglu, Oguz & Carsten, Oliver & Wadud, Zia, 2023. "Implications of automated vehicles for physical road environment: A comprehensive review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
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