Utilization of a New Methodology on Performance Measurements of Red Light Violations Detection Systems

  • Aydın M
  • Köfteci S
  • Akgöl K
  • et al.
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Abstract

In recent years, intelligent transportation systems are under a continuous development which are the direct integration of the technology and traffic engineering aspects. These systems are extensively used in order to prevent driving at high speeds and violations of the traffic rules at different road sections, signalized and unsignalized intersections. These systems have capabilities of detecting the instantaneous and average speeds of vehicles along a roadway section, and red light violations. By the help of these sophisticated systems, road and security authorities can successfully carry out criminal sanctions against non-compliant drivers combined with plate reader cameras. In Turkey, these systems are called Traffic Electronic Control System (TECS) and they are considered under different categories such as intelligent intersection systems, vehicle counting systems, safety strip violation detection systems, speed violation detection systems, speed corridors, red light violation detection systems and parking violation detection systems. Within the scope of this study, the performance of a red light violation system installed at the 4-leg signalized intersection at Antalya-Burdur highway entrance of Celtikci district belonging to the TECS was investigated by implementing a new proposed methodology. According to the performance analysis of the system, it was found that system has maximum 2 seconds error limit and its performance was found appropriate for all conditions (green to red, red to green, all green and all red). This study also demonstrated that the new measurement method accurately measures the performance of the system by examining all measurement possibilities.

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CITATION STYLE

APA

Aydın, M. M., Köfteci, S., Akgöl, K., & Yıldırım, M. S. (2017). Utilization of a New Methodology on Performance Measurements of Red Light Violations Detection Systems. International Journal Of Engineering & Applied Sciences, 9(1), 32–32. https://doi.org/10.24107/ijeas.290824

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