Study on the Traffic Flow Guidance Model of Ezpressway Based on Data Fusion
Aiming at the requirements of the complicated structure of the express highway circling centre city, and the high dependent degree of the traffic flow guidance, a model of the travel time prediction is proposed which based on the data fusion of the dynamic real-time collection data and the historical traffic data. According to the real-time collection data, one prediction value is calculated through the field collection traffic parameters which were fused beforehand, another is prediction from the historical data by using the improved Gray Model (GM). The final prediction value is fused by the former two types of data. A basic process for this model is proposed which can be applied to predict other traffic guidance information besides the travel time prediction. The effectiveness of this process and travel time prediction were tested using detected data collected in Chengdu city.
Traffic guidance model Data fusion Dynamic travel time Gray model
Di Wu Yan Shen
School of Mechatronics Engineering Univ.Eiectron.Sci.&Tech.of China Chengdu,China School of Mechatronics Engineering Univ.Electron.Sci.&Tech.of China Chengdu,China
国际会议
长沙
英文
1405-1408
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）