Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/TITS.2004.838226 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
freeway traffic-stream variable,traffic stream analysis,greenshields model,principal curve,traffic-stream model,data analysis,corresponding data,freeway traffic stream,65,nonlinear estimation,freeway traffic stream modeling,nonparameter modeling,freeway traffic-stream modeling,data filtering,data filter algorithm,gm,three-dimensional traffic-stream model,data accuracy,road traffic,principal curves,intelligent transportation systems,traffic-stream variable,three dimensional models,methodology,algorithms,three dimensional,functional form,traffic flow,accuracy,nonparametric analysis | Data accuracy,Traffic flow,Simulation,Nonparametric statistics,Behavioral analysis,Engineering,Intelligent transportation system,Three dimensional model,Filter algorithm,Principal curves | Journal |
Volume | Issue | ISSN |
5 | 4 | 1524-9050 |
Citations | PageRank | References |
18 | 1.39 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dewang Chen | 1 | 109 | 12.44 |
| Junping Zhang | 2 | 1173 | 59.62 |
| Shuming Tang | 3 | 303 | 40.78 |
| Jue Wang | 4 | 2871 | 155.89 |