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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 idea that the trunk delay time is the minimum and the section travel speed is the maximum, a traffic lane signal control method based on the two-tier programming model is established by using the intelligent optimization algorithm and the group decision theory. The algorithm combines the genetic algorithm in intelligent optimization strategy and rich group expert opinion, and uses the description of fuzzy numbers to realize the analysis and evaluation of different control objectives. A set of perfect optimization scheme of the traffic signal timing distribution is given, Analysis of the problem can be more objective and practical. Finally, an example analysis of the actual trunk road is given. The control scheme is simulated by MATLAB and Visual C ++ programming. Simulation results show that this method can effectively improve the delay and road section travel speed.