Connected and Automated Vehicles (CAVs) have the potential to bring about safety, mobility, and environmental benefits to the transportation system. However, current roadway infrastructure is exclusively designed for human-driven vehicles (HDVs) and requires maintenance and modification to support safe and reliable CAV operations. With the adoption of CAV technologies, these vehicles are expected to coexist with HDVs. Since the traffic environment evolves over time, a strategic multiyear infrastructure plan is necessary to successfully accommodate the changing infrastructure needs and to prioritize infrastructure investment in a way that maximizes CAV benefits over the planning period. This study develops a conceptual framework to guide a holistic approach to multi-year infrastructure planning for CAVs. To be more specific, the proposed framework uses a five-step approach. First, the framework uses a systematic literature review to identify a group of infrastructure options to support CAV system functions (e.g., merging and platooning). The next step is to prioritize roadway locations in need of infrastructure improvement based on the potential contribution of CAVs to their local traffic through a geographical information system analysis. To predict future infrastructure needs, the framework develops a Bass Diffusion model to forecast CAV adoption rates for short-, mid-, and long-term planning phases. Fourth, a traffic micro-simulation model is employed to evaluate the performance of the future mixed traffic environment under various infrastructure planning scenarios. Lastly, to guide effective implementation of infrastructure options for each planning term, a decision support system is proposed in terms of expected benefits and cost.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Multiyear Infrastructure Planning Framework for Connected and Automated Vehicles


    Additional title:

    Lecture Notes in Civil Engineering



    Conference:

    Canadian Society of Civil Engineering Annual Conference ; 2021 May 26, 2021 - May 29, 2021



    Publication date :

    2022-06-03


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Development of a Knowledge Base for Multiyear Infrastructure Planning for Connected and Automated Vehicles

    Sanusi, Fehintola / Choi, Juyeong / Kim, Yong Hoon et al. | ASCE | 2022


    Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors

    Muller, Johannes / Strohbeck, Jan / Herrmann, Martin et al. | IEEE | 2022



    Optimization-based path-planning for connected and non-connected automated vehicles

    Typaldos, Panagiotis / Papageorgiou, Markos / Papamichail, Ioannis | Elsevier | 2021