Incident and traffic-bottleneck detection algorithm in high-resolution remote sensing imagery

S. M M Kahaki, Md. Jan Nordin, Amir Hossein Ashtari

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

One of the most important methods to solve traffic congestion is to detect the incident state of a roadway. This paper describes the development of a method for road traffic monitoring aimed at the acquisition and analysis of remote sensing imagery. We propose a strategy for road extraction, vehicle detection and incident detection from remote sensing imagery using techniques based on neural networks, Radon transform for angle detection and traffic-flow measurements. Traffic-bottleneck detection is another method that is proposed for recognizing incidents in both offline and real-time mode. Traffic flows and incidents are extracted from aerial images of bottleneck zones. The results show that the proposed approach has a reasonable detection performance compared to other methods. The best performance of the learning system was a detection rate of 87% and a false alarm rate of less than 18% on 45 aerial images of roadways. The performance of the traffic-bottleneck detection method had a detection rate of 87.5%.

Original languageEnglish
Pages (from-to)151-170
Number of pages20
JournalITB Journal of Information and Communication Technology
Volume6 C
Issue number2
DOIs
Publication statusPublished - 2012

Fingerprint

Remote sensing
Antennas
Traffic congestion
Radon
Flow measurement
Telecommunication traffic
Learning systems
Neural networks
Monitoring
Imagery
Incidents

Keywords

  • Aerial image analysis
  • Incident detection
  • Radon transform
  • Traffic controlling
  • Trafficbottleneck detection
  • Vehicle detection

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Incident and traffic-bottleneck detection algorithm in high-resolution remote sensing imagery. / Kahaki, S. M M; Nordin, Md. Jan; Ashtari, Amir Hossein.

In: ITB Journal of Information and Communication Technology, Vol. 6 C, No. 2, 2012, p. 151-170.

Research output: Contribution to journalArticle

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