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An Efficient Emergency Vehicle Detection System for Rapid Transportation Assistance

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2026, 12(2), pp.33~38
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : January 31, 2026
  • Accepted : April 20, 2026
  • Published : April 30, 2026

Hyun-Seob Lee 1

1백석대학교

Accredited

ABSTRACT

An emergency vehicle, as defined in Article 2, Clause 22 of the Road Traffic Act, refers to a vehicle used for its original urgent purposes. According to Clause 2 of Article 29 of the same Act, emergency vehicles may proceed without stopping in urgent and unavoidable circumstances. Despite this regulation, accidents involving emergency vehicles frequently occur, particularly when they enter intersections while disregarding traffic signals, resulting in collisions with vehicles traveling on crossing lanes. To address this issue, this paper proposes a novel traffic signal system that uses cameras installed at intersections to monitor the real-time status of vehicle warning lights. The captured footage is automatically analyzed using artificial intelligence trained with relevant data, allowing the system to determine the presence of emergency vehicles. Traffic signals are then adjusted only when an emergency vehicle is detected. Experimental results showed that the proposed system recognized vehicle warning lights with an accuracy of over 93%. Consequently, the proposed signal system can significantly reduce the risk of intersection accidents involving emergency vehicles and also decrease the time required for these vehicles to pass through intersections.

Citation status

* References for papers published after 2024 are currently being built.