基于信息熵的公交优先线控系统相位差优化模型

Offset Optimization of Bus Priority Arterial Traffic Control Based on Information Entropy

为了实现公交线控最优化,在分析已有公交优先条件下线控系统相位差优化方法局限性的基础上,考虑社会车辆和公交车辆行驶车速的随机特性,将行程时间、人均延误、公交车延误、社会车延误、公交车排队和社会车排队作为线控系统运行评价指标,利用信息熵理论和多属性综合决策方法设计了线控系统相位差优化算法。最后将该算法应用于某线控系统相位差优化,利用Simio进行了仿真与结果分析。结果表明:所设计的相位差优化方法有效、可行,能获得相对较优的相位方案;在相位差的设置过程中应综合考虑各方向和各路段的车流运行特征,不同车流路段行程车速的随机特性是相位差设置的显著影响因素。

By analyzing the limitations of existing offset optimization methods for bus priority arterial traffic control, and according to the random distribution of vehicle speed and bus speed, the offset optimization algorithm based on information entropy theory and multi-attribute decision making methods was obtained to optimize bus priority arterial traffic control, where travel time, average delay per person, vehicle delay, bus delay, vehicle queue length and bus queue length were regarded as evaluation indexes of arterial control system operation. Finally, the algorithm was applied to the offset optimization of an arterial control system, and the simulation and the analysis of results were conducted by using Simio. The results show that the proposed offset optimization is effective and feasible, through which optimum offset can be obtained. For the setting of offset, traffic flow operation characteristics in all directions and sections should be considered comprehensively. The random distribution of vehicle speed is the main factor which influences the setting of offset.