Abstract—Only a single CCTV camera is installed on highway, this is cause of difficulties to automated estimation of traffic congestion. Many factors are hidden from the data input. For example, arrival-flow/departure-flow rates, traffic light cycles and etc. This paper studies the effect of primary hidden factors to traffic congestion on a single CCTV camera for highway in pre-timed systems. Some characteristics are revealed with significance to the estimation of traffic congestion. A model for traffic congestion is proposed. Comprehensive experiments are presented. The technique can estimate traffic congestion for real-time systems with low error rate.
Index Terms—Traffic congestion estimation, queue length estimation, intelligent transportation system (ITS), highway engineering, traffic signal management system.
The authors are with Faculty of Engineering, Dhurakij Pundit University, Bangkok, Thailand (e-mail: {arthit.bur, chaiyaporn}@dpu.ac.th).
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Cite:Arthit Buranasing and Chaiyaporn Khemapatapan, "Traffic Congestion Estimation for Short-Highway in Pre- Timed Systems," International Journal of Modeling and Optimization vol. 3, no. 2, pp. 158-162, 2013.
