摘要
为解决城市严重的交通拥堵问题,提出一种基于实时路况的交通信号灯智能管控方法。实时检测交叉方向车辆,计算车道占用率,应用模糊控制理论优化信号灯切换频率,确保双向车道均衡使用。实验利用实测数据,结合模拟分析结果,针对早晚高峰以及中午等3个典型时段道路交通状况,与传统定时控制方法进行比较,比较结果表明,该方法能够有效地利用车道,增强交通通行能力,较传统的定时控制方式更具有适用性。
To solve the problem of serious urban traffic congestion,an intelligent traffic light control method based on real-time road surveillance was proposed,which detected vehicles in cross direction in real time,calculated lane occupancy and applied the fuzzy control theory to optimize the traffic light switching frequency on the premise of maintaining the two-way lanes in a state of relative balance.Combining the measured data with simulation result,the proposed method was compared with pretimed control method in three typical periods,namely the morning-evening peak and noon.The experimental result indicates that the proposed method can use lane effectively,enhance the traffic capacity and demonstrate the applicability of the method compared with the traditional one.
出处
《计算机工程与设计》
北大核心
2015年第3期783-788,共6页
Computer Engineering and Design
关键词
智能交通
信号灯
车辆检测
车道占用率
模糊控制
intelligent traffic
traffic light
vehicle detection
lane occupancy
fuzzy control
