Adaptive offsets for signalized streets

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Transportation Research Procedia, ISSN: 2352-1465, Vol: 23, Page: 612-623

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Carlos F. Daganzo; Lewis J. Lehe; Juan Argote-Cabanero
Elsevier BV
Social Sciences
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article description
This paper shows that severe congestion on streets controlled by traffic signals can be reduced by dynamically adapting the signal offsets to the prevailing density with a simple rule that keeps the signals’ green-red ratios invariant. Invariant ratios reduce a control policy’s impact on the crossing streets, so a policy can be optimized and evaluated by focusing on the street itself without the confounding factors present in networks. Designed for heavy traffic with spillovers, the proposed policies are adaptive and need little data - they only require average traffic density readings and no demand forecasts.