Modeling Arterial Signal Optimization with Enhanced Cell Transmission Formulations

Abstract

This study presents an arterial signal optimization model that can consider queue blockage among intersection lane groups under oversaturated conditions. The proposed model captures traffic dynamics with the cell transmission concept, which takes into account complex flow interactions among different lane groups. With the embedded formulations for forward wave, backward wave, and the horizontal queue, the proposed arterial signal optimization model can yield effective signal plans for both saturated and under-saturated intersections. To evaluate the performance of the proposed model, this study has conducted extensive simulation experiments with a segment of Georgia Avenue intersecting the Capital Beltway in Silver Spring, Maryland. Through comparisons with signal-timing plans from TRANSYT-7F (Release 10), the proposed model shows its promise for signal-timing optimization, particularly under congested conditions.