|Freeway Traffic Stream Modeling Based on Principal Curves and Its Analysis|
|Dewang Chen; Junping Zhang; Shuming Tang; and Jue Wang
|发表期刊||IEEE Transactions on Intelligent Transportation Systems
|摘要||We have proposed to use the method of principal curves to describe and analyze the interaction among freeway traffic-stream variables and their joint behaviors without utilizing conventional assumptions made on the functional forms of interactions, as in previous studies. As a nonparameter modeling approach, the performance of the proposed method depends only on the data used and involves no assumed knowledge regarding the relationship among the traffic-stream variables. First, we discuss the basic algorithm for data analysis using principal curves and the corresponding data filter algorithm for determining principal curves for application in traffic-steam analysis. Second, a case study is used to compare the performance of the proposed method to that of the classical model proposed by Greenshields; results indicate that the proposed model is better than the classical one in both data accuracy and curve shape. Finally, the traffic-stream models generated with principal curves at different locations and lanes are compared with each others and the three-dimensional traffic-stream models developed from principal curves are discussed. Clearly, our results have demonstrated the feasibility and advantages of applying principal curves in freeway traffic-stream modeling and analysis.|
Intelligent Transportation Systems
Algorithm Design And Analysis
Dewang Chen,Junping Zhang,Shuming Tang,et al. Freeway Traffic Stream Modeling Based on Principal Curves and Its Analysis[J]. IEEE Transactions on Intelligent Transportation Systems,2004,5(4):246-258.
Dewang Chen,Junping Zhang,Shuming Tang,&and Jue Wang.(2004).Freeway Traffic Stream Modeling Based on Principal Curves and Its Analysis.IEEE Transactions on Intelligent Transportation Systems,5(4),246-258.
Dewang Chen,et al."Freeway Traffic Stream Modeling Based on Principal Curves and Its Analysis".IEEE Transactions on Intelligent Transportation Systems 5.4(2004):246-258.