IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2311.01268.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2311.01268
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Tongfei & Qian, Zhen & Fan, Bo & Xu, Min & Sun, Huijun & Chen, Yanyan, 2024. "Integrated optimal planning of multi-type lanes and intersections in a transportation network with mixed HVs and CAVs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
    2. Zhang, Fang & Meng, Qiang & Taeihagh, Araz, 2025. "Bounding the efficiency of vehicle automation in general transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 195(C).
    3. Tscharaktschiew, Stefan & Reimann, Felix, 2023. "The economics of speed choice and control in the presence of driverless vehicle cruising and parking-as-a-substitute-for-cruising," Transportation Research Part B: Methodological, Elsevier, vol. 178(C).
    4. Wang, Yi & Li, Le & Wu, Yunxia & Yao, Zhihong & Jiang, Yangsheng, 2024. "Efficiency and fuel consumption of mixed traffic flow with lane management of CAVs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 652(C).
    5. Mo, Xiaoyu & Xing, Yang & Lv, Chen, 2024. "Heterogeneous graph social pooling for interaction-aware vehicle trajectory prediction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 191(C).
    6. 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).
    7. Wu, Guohong & Wu, Jiaming & Zheng, Shiteng & Jiang, Rui, 2024. "Managing merging from a dedicated CAV lane into a conventional lane considering the stochasticity of connected human-driven vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 652(C).
    8. Xin-Wei Li & Hong-Zhi Miao, 2023. "How to Incorporate Autonomous Vehicles into the Carbon Neutrality Framework of China: Legal and Policy Perspectives," Sustainability, MDPI, vol. 15(7), pages 1-24, March.
    9. Sun, Mingmei, 2023. "A day-to-day dynamic model for mixed traffic flow of autonomous vehicles and inertial human-driven vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    10. Hao, Yilang & Chen, Zhibin & Sun, Xiaotong & Tong, Lu, 2025. "Planning of truck platooning for road-network capacitated vehicle routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    11. Wang, Hua & Meng, Qiang & Zhang, Xiaoning, 2020. "Multiple equilibrium behaviors of auto travellers and a freight carrier under the cordon-based large-truck restriction regulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    12. Mohamed G. Moh Almihat & Josiah L. Munda, 2025. "The Role of Smart Grid Technologies in Urban and Sustainable Energy Planning," Energies, MDPI, vol. 18(7), pages 1-30, March.
    13. Wu, Xuelian & Postorino, Maria Nadia & Mantecchini, Luca, 2024. "Impacts of connected autonomous vehicle platoon breakdown on highway," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 650(C).
    14. Sikai Chen & Shuya Zong & Tiantian Chen & Zilin Huang & Yanshen Chen & Samuel Labi, 2023. "A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    15. Yuansheng Cao & Yonggang Liao & Jiancong Lai & Tianjie Shen & Xiaofei Wang, 2024. "Study on the Deviation Characteristics of Driving Trajectories for Autonomous Vehicles and the Design of Dedicated Lane Widths," Sustainability, MDPI, vol. 16(21), pages 1-18, October.
    16. Li, Tongfei & Cao, Yaning & Xu, Min & Sun, Huijun, 2023. "Optimal intersection design and signal setting in a transportation network with mixed HVs and CAVs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    17. Zhang, Xiang & Sun, Haojie & Pei, Xiaoyang & Guan, Linghui & Wang, Zihao, 2024. "Evolution of technology investment and development of robotaxi services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    18. Talebian, Ahmadreza & Mishra, Sabyasachee, 2022. "Unfolding the state of the adoption of connected autonomous trucks by the commercial fleet owner industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    19. Tan, Zhijia & Sheng, Dian & Yin, Yafeng, 2025. "Shore-power capacity allocation in a container shipping network under ships’ strategic behaviors," Transportation Research Part B: Methodological, Elsevier, vol. 192(C).
    20. Umabharati Rawat & Aalok Kumar & Ramesh Anbanandam, 2025. "Evaluating the Preparedness of Freight Logistics Firms for Cyber-Physical Systems Integration: A SAP-LAP Methodology for Sustainable Development," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 26(1), pages 1-23, March.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2311.01268. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.