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Performance Evaluation of Dynamic Gap-out Feature Using Stochastic Optimization Method and Software in the Loop Simulation

机译:基于随机优化方法和软件的环路仿真动态间隙特性评估

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Traffic signal timing optimization and control are one of the most cost-effective ways of improving urban arterial network congestions. Actuated traffic signal control system is designed to provide green times where they are needed and it uses pre-specified gap-out time to determine early termination of current phase green time. However, the effectiveness of its signal state decisions is limited by its dependence on aggregated vehicle information from fixed point sensors located near the stop bar or upstream at signalized intersections. With the emerging wireless location technology (WLT), individual vehicle information (e.g., speed, location, etc.) is expected to be utilized for traffic signal control applications. A recent study evaluated a dynamic gap-out feature that terminates existing green without elapsing gap-out time if no vehicles would arrive within the gap-out time. Even though the timing plan was not optimized under the dynamic gap-out feature, the study showed at 20% delay savings over regular gap-out at a two oneway street intersection. This paper complements the previously presented dynamic gap-out study. In this study timing plans under dynamic gap-out feature are optimized using a stochastic optimization method and software in the loop simulation, and evaluated with VISSIM microscopic simulation model with a COM interface.

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