Improving Emergency Vehicles’ Response Times with the Use of Augmented Reality and Artificial Intelligence

K. F. Bram-Larbi, V. Charissis, S. Khan, D. K. Harrison, D. Drikakis

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)


    The rapid mobilization of Emergency Services (ES) could be particularly challenging for ES drivers and staff that have to navigate and manoeuvre through various traffic and weather conditions. Driving, in high speeds through dense traffic is a particularly demanding psychomotor task for the ES drivers and could result in collisions and even fatalities. Current attempts to support the driver and reduce the potential driving hazards had limited success. The paper presents the design rationale of a prototype system that utilises Augmented Reality (AR) in the form of a Head-Up Display (HUD) to superimpose guidance information in the real-life environment. The paper will discuss also the requirements for an Artificial Intelligence (AI) system that could analyse the driving conditions and present the best manoeuvring options whilst maintain the road users’ safety. Finally, the paper presents the requirements’ framework for the development of the proposed AR/AI system based on the feedback and suggestions of ten ES drivers. Their feedback will be presented and discussed in detail as it provided essential insight into the everyday challenges of ES operations.

    Original languageEnglish
    Title of host publicationHCI International 2020 – Late Breaking Papers
    Subtitle of host publicationDigital Human Modeling and Ergonomics, Mobility and Intelligent Environments - 22nd HCI International Conference, HCII 2020, Proceedings
    EditorsConstantine Stephanidis, Vincent G. Duffy, Norbert Streitz, Shin’ichi Konomi, Heidi Krömker
    PublisherSpringer Science and Business Media Deutschland GmbH
    Number of pages16
    ISBN (Print)9783030599867
    Publication statusPublished - 2020
    Event22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
    Duration: 19 Jul 202024 Jul 2020

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume12429 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Conference22nd International Conference on Human-Computer Interaction, HCII 2020


    • Artificial Intelligence
    • Augmented Reality
    • Collision avoidance
    • Emergency Services
    • Head-up display
    • Simulation
    • Smart cities


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