一种交通拥堵指数智能计算方法

交通拥堵与许多因素密切相关,具有强烈的随机性、偶然性,导致当前交通拥堵指数计算误差大,可靠性差等问题,为了提高交通拥堵指数计算精度,提出了基于支持向量机的交通拥堵指数智能计算方法。先分析当前交通拥堵指数智能计算的研究进展,找到引起交通拥堵指数计算效果的原因,然后采集一段时间的交通拥堵指数序列,引入支持向量机对交通拥堵指数序列进行建模与分析,找到交通拥堵指数变化规律,最后采用具体仿真实验与其它交通拥堵指数智能计算方法进行了对照实验。结果表明,这种方法降低了交通拥堵指数计算误差,为可以为交通管理者提供有价值的信息,有利于缓解交通拥堵问题,具有比较明显的优越性。

An Intelligent Method for Calculating Traffic Congestion Index

The traffic congestion is closely related to many factors,it is with strong randomness and contingency which may lead to a lot of problems such as large calculation error and poor reliability of traffic congestion index.In order to improve the calculation accuracy of traffic congestion index,an intelligent calculation method of traffic congestion index based on support vector machine is proposed.Firstly,the paper analyzes the research progress of intelligent calculation of traffic congestion index,and finds out the causes of the calculation effect of traffic congestion index,then collects the traffic congestion index series for a period of time,introduces improved support vector machine to model and analyze the traffic congestion index series,and finds out the change law of traffic congestion index,finally uses specific simulation experiments and other traffic congestion index intelligence for comparison.The calculation method is used in the control experiment.The results show that this method can reduce the calculation error of traffic congestion index,provide valuable information for traffic managers,and alleviate the traffic congestion problem,which has obvious advantages.