摘要
文章从交通量、平均速度、天气条件、前一时段的拥堵状况等与交通拥堵有直接关系的模糊条件入手,根据确定的模糊集合和模糊规则,提出了一种用于交通拥堵判别的模糊推理算法,并利用GPS采集数据对算法进行了验证分析。结果表明,该模糊推理算法能准确判别道路的交通拥堵情况。
Starting from the fuzzy condition of direct relationship between traffic volume,average speed,weather condition,previous traffic jam condition and current traffic jam,the article proposes the a fuzzy inference calculation method based on fuzzy union and principle,and performs test analysis using GPS collecting data.The result shows that this method can dif-ferentiate the traffic jam condition.
出处
《西部交通科技》
2012年第2期64-69,91,共7页
Western China Communications Science & Technology
关键词
模糊推理
交通拥堵
判别方法
研究
Fuzzy inference
Traffic jam
Discrimination method
Study
