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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
415 Downloads (Pure)


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
Pages (from-to)24-39
Number of pages16
JournalLecture Notes in Computer Science
Publication statusPublished - 4 Nov 2020
Event22nd International Conference on Human-Computer Interaction - Online
Duration: 19 Jul 202024 Jul 2020 (Link to conference website)


  • augmented reality
  • emergency services
  • artificial intelligence
  • collision avoidance
  • head-up display
  • smart cities
  • simulation
  • Emergency Services
  • Smart cities
  • Artificial Intelligence
  • Augmented Reality
  • Simulation
  • Head-up display
  • Collision avoidance

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Artificial Intelligence
  • Information Systems
  • Automotive Engineering
  • Computer Graphics and Computer-Aided Design
  • Theoretical Computer Science
  • General Computer Science


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