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Abstract: With the advancement of connected vehicle (CV) technology, an increasing number of CVs will appear on urban roads. Data collected by CVs can be used to optimize signal parameters at intersections, thus improving traffic efficiency. In this study, we design a real-time adaptive signal control method for an arterial road with multiple intersections with low penetration rates. By utilizing vehicle arrival information collected by CVs, our method rapidly determines optimal signal phasing and timing (SPaT). The proposed adaptive signal control method was tested with the Simulation of Urban Mobility (SUMO) software, and was found to reduce total travel delay in the network better than a fixed coordination control method. The performance of the proposed method in reducing travel delay is expected to improve as CV detection range increases.

混合网联车辆环境下的多交叉实时自适应信号控制方法

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