摘要
随着城市车辆的逐渐增多,交通拥堵问题日趋突出。而在大多数情况下,由于交通信号灯时间难以及时随路况进行调整,加之不同路段的车流量不均匀,必将加剧城市道路拥堵的现象。为此,本文设计了一种城市智能交通系统。一方面,通过电感式传感器,实时监测车流量,利用STM32单片机获取并整合相关数据,再根据自适应算法,动态调整信号灯时间的长短;另一方面,基于蚁群算法,通过对城市各个路口各个方向车流量等信息的采集,转换,比较与分析,结合某一车辆当前的规划路径,向车辆发送路径推荐方案。
With the gradual increase of urban vehicles, the problem of traffic congestion has become increasingly prominent. In most cases, due to the difficulty of adjusting the time of traffic lights according to road conditions, and the uneven traffic flow of different road sections, the phenomenon of urban road congestion is bound to aggravate. Therefore, this paper designs an urban intelligent transportation system. On the one hand, the inductive sensor is used to monitor the traffic flow in real-time, and the STM32 single-chip microcomputer is used to obtain and integrate the relevant data, and then dynamically adjust the length of the signal light time according to the adaptive algorithm;The collection, conversion, comparison and analysis of information such as direction and traffic flow, combined with the current planned route of a certain vehicle, send a route recommendation scheme to the vehicle.
出处
《自动化博览》
2022年第10期42-45,共4页
Automation Panorama1
