摘要
利用泊松分布,在不考虑随机因素对车流量影响的理想情况下,分别构建出低、高负荷两种状态车流量的数学模型。分析影响高速公路车流量的四个主要随机因素:车速、天气恶劣程度、突发事件、驾驶员对动态视野的感知程度,并设计出更符合实际的高速公路车流量预测模型,为高速公路管理部门合理预测车流量并做好应对准备提供有效的依据。
By adopting the Poisson distribution,two mathematical models for expressway traffic flow under the low and high traffic load conditions were established respectively,in which the random factors＇ impact for expressway traffic flow was omitted.Based on the analysis on the four main random factors influencing the expressway traffic flow：the speed,weather conditions,emergency and driver＇s perception of the dynamic vision,two practical forecasting models for expressway traffic flow were designed.This work provides a reliable references for expressway management department to predict traffic flow and to make the corresponding preparation.
出处
《计算技术与自动化》
2016年第2期116-119,共4页
Computing Technology and Automation
基金
陕西省自然科学基础研究计划资助项目(2013JM1001)
关键词
高速公路
泊松分布
随机因素
预测模型
expressway
poisson distribution
random factor
forecasting model
