Name
Title | ||
|---|---|---|
A Novel Learning Method for Traffic Flow Forecasting by Seasonal SVR with Chaotic Simulated Annealing Algorithm |
Abstract | ||
|---|---|---|
The prediction of traffic flow in cities has always been one of the most important issues in the study of road traffic congestion in the world. However, it is difficult to accurately predict the traffic flow between cities, because the traffic flow prediction process involves a more complex nonlinear data model, especially during the daily peak hours, the traffic flow data presents a cycle Sexual ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCCS52626.2021.9449161 | 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) |
Keywords | DocType | ISBN |
Support vector machines,Chaotic communication,Urban areas,Transportation,Simulated annealing,Predictive models,Prediction algorithms | Conference | 978-1-6654-1256-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shaofei Liu | 1 | 0 | 0.34 |
| Ying Lin | 2 | 0 | 1.01 |
| Chao Luo | 3 | 58 | 17.22 |
| Weiye Shi | 4 | 0 | 0.34 |