Development of Urban Road Network Traffic State Dynamic Estimation Method

Jiawen Wang, Yinsong Wang, Meiping Yun and Xiaoguang Yang

Mathematical Problems in Engineering, 2015, vol. 2015, 1-10

Abstract:

Traffic state estimation is a key problem with considerable implications in modern traffic management. A simple, general, and complete approach to the design of urban network traffic state and phase estimator has been developed in this paper. A uniform traffic state dynamic estimation method structure is designed which consists of three steps. (1) Floating-car data and radio frequency identification data preprocessing method is proposed to remove the abnormal data and finish the map matching process. (2) Section speed estimation method is proposed based on the degree of confidence. (3) Traffic phase identification method is proposed based on the estimated section speed. A number of simulation and field investigations have been conducted to test the estimator performance. The investigation results indicate that the proposed approach is of high accuracy and smoothness on the section speed estimation and effectively eliminates the influence of abnormal data fluctuations and insufficient data. And the traffic phase identification method can effectively filter out the abnormal distortion of estimated section speed around the threshold value and modify the phase step of traffic status caused by abnormal data.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:714149

DOI: 10.1155/2015/714149

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