基于模型预测控制的公交信号优先控制方法

An Arterial Coordinated Method of Bus Priority Signal Control Based on Model Predictive Control

针对现有公交优先信号控制技术在控制基础、控制目标、控制方法等方面存在的问题,提出了基于模型预测控制的干线协调控制方法,建立了相应的控制模型。为验证控制实施效果,以南京龙蟠路为原型,对公交信号进行优先仿真情景设计,采用粒子群算法求解,结果表明,优化模型比传统模型在社会车辆与公交车辆平均延误等方面表现更优异。

Aiming at the problems existing in the existing bus priority signal control technology in terms of control basis,control objectives,control methods,etc.This paper proposes an arterial coordinated control method based on model predictive control,and establishes a corresponding control model.In order to verify the control implementation effect,taking Nanjing Longpan Road as a prototype,the bus signal priority simulation scenario is designed and solved by particle swarm optimization.The evaluation proves that the optimization model has more average social vehicle and bus delays than the traditional model.