Traffic Congestion Estimation for Short-Highway in Pre- Timed Systems

Abstract

developed traffic congestion estimation model for highway by using only flow rate and average velocity in each minute from a single CCTV camera which is installed in the middle of the road without using traffic signal data or departure- flow rate on the pre-timed system. However, the model could only predict traffic congestion on un-congested condition, but could not predict traffic congestion on congested condition. Hence, so far to the best of our knowledge, traffic congestion estimation on highway requires at least two type of raw data, one is the data from a CCTV camera which some work requires at least two cameras and the others is traffic signal data or departure-flow rate. Although, Buranasing and Prayote attempted to develop traffic congestion model for highway by using only a single camera for saving cost, but the model could not predict traffic congestion on congested condition. Therefore, in this paper, the proposed model are able to estimate traffic congestion on short-highway by using only average velocity from a single camera which is installed at the beginning of the road by without using traffic signal data or departure-flow rate on the pre-timed system and the model are also able to predict traffic congestion in any traffic condition (both congested and un-congested condition). This paper is organized into the following sections: Section II simulation software and experiment setting. Equivalent queue length estimation model in Section III. Characteristic of CCTV's velocity in Section IV. Velocity and congestion model in section V. Traffic congestion estimation model and performance in section VI and a conclusion and remark is drawn in section VII.