摘要
为提高城市快速路汇流瓶颈区交通流通行效率,有效控制路段交通流混沌现象的发生,以瓶颈区交通流占有率是否超过阈值为启动条件,建立以汇流瓶颈区交通流占有率、平均车速为输入,主线限速值为输出的主线交通流自适应神经模糊混沌控制器;并对交通流混沌控制的最佳启动阈值、最佳控制周期进行仿真分析。仿真结果显示,当启动阈值取瓶颈区交通流占有率为30%,控制周期为两分钟时,控制效果最佳,此时路段混沌断面相对于无控制情况减少了60%,交通流总行程时间减少了0.42%,总延误减少了58.25%,说明该方法能够有效抑制交通混沌,提高交通流的通行效率。
In order to improve the traffic flow efficiency in the bottleneck area of Urban Expressway and control traffic flow chaos, a traffic flow adaptive neuro fuzzy chaos controller based on traffic flow occupancy, average speed as input and main speed limit value as output was established. Whether the traffic flow occupancy in the bottleneck area exceeds the threshold is the starting condition. The optimal starting threshold and the optimal control cycle of chaotic controller were simulated and analyzed. Simulation results show that the chaotic controller can effectively restrain traffic chaos and improve traffic flow efficiency. Compared with the uncontrolled situation, the chaotic cross section of the road is reduced by 60%, the total travel time of the traffic flow is reduced by 0.42%, and the total delay is decreased by 58.25% at the best situation that the starting threshold is 30% and the control cycle is two minutes.
出处
《贵州大学学报（自然科学版）》
2017年第6期110-114,共5页
Journal of Guizhou University:Natural Sciences
基金
福建省自然科学基金项目(2016J01230)
关键词
城市交通
瓶颈路段
主线可变限速控制
混沌控制
仿真
urban transportation
bottleneck section
variable speed control of main line
chaos control
simulation
