基于神经网络的智能交通控制系统构建

Construction of Intelligent Traffic Control System Based on Neural Network

针对当前智能交通发展的需求,结合当前的智能算法,提出一种基于BP的智能交通控制系统。为实现该系统,实现智能化城市交通控制的价值,首先对该系统的需求进行了分析,然后分别对系统的整体方案、硬件和软件等经了设计。在设计中重点对BP智能交通通行时间进行预测,并采用DSP处理器对BP算法进行运算,以提高运算的效率。最后给出部分实现的界面。

In view of the demand of the development of intelligent transportation and the current intelligent algorithm,an intelligent transportation control system based on BP is proposed.In order to realize the system and realize the value of intelligent urban traffic control,the requirements of the system are analyzed first,and then the overall scheme,hardware and software of the system are designed separately.In the design,the traffic time of BP intelligent transportation is forecasted,and the BP algorithm is calculated by the DSP processor to improve the efficiency of the calculation.Finally,the interface of partial implementation is given.