Title | ||
---|---|---|
Short-Term Traffic Flow Forecasting Using Ensemble Approach Based on Deep Belief Networks |
Abstract | ||
---|---|---|
Transportation services play an increasingly significant role for people’s daily lives and bring a lot of benefits to individuals and economic development. The randomness and volatility of traffic flows, however, constrains the effective provision of transportation services to a certain extent. Precise traffic flow forecasting becomes the key and primary task to realize the stability of intelligen... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TITS.2020.3011700 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | DocType | Volume |
Forecasting,Predictive models,Object oriented modeling,Machine learning,Neural networks,Transportation,Feature extraction | Journal | 23 |
Issue | ISSN | Citations |
1 | 1524-9050 | 2 |
PageRank | References | Authors |
0.37 | 0 | 4 |