基于干道延误时间最小和路段行程速度最大的设计理念,利用智能优化算法和群决策理论,建立了一种双层规划模型下的城市干道交通信号控制方法。算法结合了智能优化策略中的遗传算法和丰富的群体专家意见,并采用模糊数的描述方式实现对不同控制目标的分析评价,给出了一套完善的干道交通信号配时优化方案,使交通问题的分析得以更加客观和实际。最后给出一个实际主干道问题的算例分析,运用MATLAB和Visual C++编程计算对控制方案进行模拟。仿真结果表明,这一方法能有效地改善延误和路段行程速度。
Based on the design principle of minimum arterial road delay time and maximum link travel speed,an urban roads traffic signal control method of bi-level programming model was established by using intelligent optimization algorithms and group decision making theory.The algorithm which combined the genetic algorithm of intelligent optimization strategy and the advice of a rich group of experts was designed,a description of fuzzy number was set up to realize analysis evaluation of different control targets,and the whole optimum proposal for traffic signal timing of arterial roads was given,thus,the analysis of traffic problem was made more objective and practical.Finally,an example of signal control time optimization for a real arterial road was analyzed,and hybrid programming calculation with MATLAB and Visual C++ was introduced to simulate the control scheme.The result shows that the method can effectively minimize delay and maximize link travel speed.