01659922

Component

This paper reports on a proactive traffic management strategy to reduce the negative impact of non-recurrent congestion caused by irregular increases in travel demand. Based on data mining of historic data, the authors developed a decision tree for predicting non-recurrent congestion in a sub-network along a major arterial in Tel Aviv-Yafo. A dedicated traffic signal plan aimed at increasing capacity is activated when the prediction rules indicate impending congestion. Analysis of initial results served as a basis for fine-tuning the strategy. The modified strategy was then integrated into AVIVIM, the Tel Aviv-Yafo traffic management system, and the resulting frequency of congestion was compared to the period before implementation of the strategy. Results showed that the strategy significantly reduced the frequency of non-recurrent congestion on the major approach to the signalized intersection along the arterial without negatively affecting traffic flow at the minor approach.

This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems. Alternate title: Proactive Traffic Management Strategy for Mitigating Nonrecurrent Congestion in an Urban Subnetwork

18-01654

English

15p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Arterial highways; Decision trees; Highway traffic control; Traffic congestion; Traffic flow; Travel demand; Urban areas

Tel Aviv (Israel)

Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2018 Paper #18-01654

TRIS, TRB, ATRI

Jan 8 2018 10:25AM