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Intelligent Transport Systems. 8th International Conference, INTSYS 2024, Pisa, Italy, December 5–6, 2024, Revised Selected Papers

Research Article

A Mobile Application to Secure Pedestrians Interacting with Automated Vehicles

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-86370-7_14,
        author={Romain Tessier and Pierre Merdrignac and Thomas Jacquet and Natacha M\^{e}tayer},
        title={A Mobile Application to Secure Pedestrians Interacting with Automated Vehicles},
        proceedings={Intelligent Transport Systems. 8th International Conference, INTSYS 2024, Pisa, Italy, December 5--6, 2024, Revised Selected Papers},
        proceedings_a={INTSYS},
        year={2025},
        month={4},
        keywords={VRU Road Safety automated driving smartphone application user assessment},
        doi={10.1007/978-3-031-86370-7_14}
    }
    
  • Romain Tessier
    Pierre Merdrignac
    Thomas Jacquet
    Natacha Métayer
    Year: 2025
    A Mobile Application to Secure Pedestrians Interacting with Automated Vehicles
    INTSYS
    Springer
    DOI: 10.1007/978-3-031-86370-7_14
Romain Tessier1, Pierre Merdrignac1,*, Thomas Jacquet1, Natacha Métayer1
  • 1: VEDECOM Institute
*Contact email: pierre.merdrignac@vedecom.fr

Abstract

With the increasing deployments of automated vehicles (AVs) in shared environments, many questions arise concerning the safety of interactions between these vehicles and other road users, especially for the most vulnerable. This paper presents 1) a mobile application designed to provide real-time collision risk alerts to pedestrians, leveraging cellular network communication and edge computing for low-latency warnings, and 2) the evaluation of this application by end users after road tests. The system was evaluated through controlled experiments, demonstrating average delays of less than 100 ms for alert notifications. User feedback indicated strong support for such safety technologies, with most participants highlighting the importance of receiving notifications in poor visibility conditions. While some localization challenges led to occasional false positives, the overall user experience and system performance were promising, suggesting this approach as a viable solution to improve VRU safety in smart cities.

Keywords
VRU Road Safety automated driving smartphone application user assessment
Published
2025-04-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-86370-7_14
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