Name
Title | ||
|---|---|---|
A Comparison of Detrending Models and Multi-Regime Models for Traffic Flow Prediction |
Abstract | ||
|---|---|---|
Short-term traffic flow prediction received considerations from different fields, because of its essentialness in traffic engineering and its theoretical difficulties. In this paper, we studied two important approaches of traffic flow prediction: detrending methods and multi-regime methods. First, we compared their differences in modeling philosophy and compared their merits as well as shortcomings. Then, we tested several representative prediction models of these two approaches on the openly accessible PeMS traffic flow database to find their merits and shortcomings. The obtained results threw some interesting light on how to select the appropriate traffic prediction models in practices. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/MITS.2014.2332591 | IEEE Intell. Transport. Syst. Mag. |
Keywords | Field | DocType |
multiregime methods,detrending methods,traffic engineering computing,representative traffic prediction models,short-term traffic flow prediction,detrending models,pems traffic flow database,traffic engineering,intelligent transportation systems,multiregime models,time measurement,traffic flow,time series analysis,hidden markov models,market research,predictive models | Data mining,Time series,Traffic generation model,Traffic flow,Simulation,Road traffic,Predictive modelling,Engineering,Hidden Markov model,Traffic prediction,Traffic engineering | Journal |
Volume | Issue | ISSN |
6 | 4 | 1939-1390 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Zhiheng | 1 | 77 | 13.27 |
| Li Yuebiao | 2 | 1 | 0.35 |
| Li Li | 3 | 581 | 109.68 |