The connected vehicle is a rapidly emerging paradigm aimed at deploying and developing a fully connected transportation system that enables data exchange among vehicles, infrastructure, and mobile devices to improve mobility, enhance safety, and reduce the adverse environmental impacts of the transportation systems. This study focuses on micromodeling and quantitatively assessing the potential impacts of the connected vehicle (CV) on mobility, safety, and the environment. To assess the benefits of CVs, a modeling framework is developed based on traffic microsimulation for a real network located in the city of Toronto, Canada, to mimic communication between enabled vehicles. In this study, we examine the effects of providing real-time routing guidance and advisory warning messages to CVs. In addition, to take into account the rerouting in nonconnected vehicles (non-CVs) in response to varying sources of information such as apps, global positioning systems (GPS), variable message signs (VMS), or simply seeing the traffic back up, the impact of fraction of non-CV vehicles was also considered and evaluated. Therefore, vehicles in this model are divided into; uninformed/unfamiliar not connected (non-CV), informed/familiar but not connected (non-CV) that get updates infrequently every 5 minutes or so (non-CV), and connected vehicles that receive information more frequently (CV). The results demonstrate the potential of connected vehicles to improve mobility, enhance safety, and reduce greenhouse gas emissions (GHGs) at the network-wide level. The results also show quantitatively how the market penetration of connected vehicles proportionally affects the performance of the traffic network. While the presented results are pertinent to the specifics of the road network modeled and cannot be generalized, the quantitative figures provide researchers and practitioners with ideas of what to expect from vehicle connectivity concerning mobility, safety, and environmental improvements.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Assessing the Potential Impacts of Connected Vehicles: Mobility, Environmental, and Safety Perspectives


    Contributors:

    Published in:

    Publication date :

    2016-05-03


    Size :

    15 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Modeling Connected Vehicle Impacts on Traffic Mobility, Safety, and Emission

    Wei, Heng / Liu, Hao / Zuo, Ting et al. | ASCE | 2018


    Assessing the Network-Wide Impacts of Dedicated Lanes for Connected Autonomous Vehicles

    Fakhrmoosavi, Fatemeh / Kamjoo, Ehsan / Zockaie, Ali et al. | Transportation Research Record | 2022


    Investigating the Potential Transportation Impacts of Connected and Autonomous Vehicles

    Asadi, F. Elham / Anwar, Ammar K. / Miles, John C. | IEEE | 2019


    Network-wide safety impacts of dedicated lanes for connected and autonomous vehicles

    Sha, Hua / Singh, Mohit Kumar / Haouari, Rajae et al. | Elsevier | 2023