Examining the Impact of Different Periodic Functions on Short-Term Freeway Travel Time Prediction Approaches
Freeway travel time prediction is a key technology of Intelligent Transportation Systems (ITS). Many scholars have found that periodic function plays a positive role in improving the prediction accuracy of travel time prediction models. However, very few studies have comprehensively evaluated the im...
Saved in:
| Main Authors: | Xu Miao, Bing Wu, Yajie Zou, Lingtao Wu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/3463287 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Urban Traffic Travel Time Short-Term Prediction Model Based on Spatio-Temporal Feature Extraction
by: Leilei Kang, et al.
Published: (2020-01-01) -
Examining the incubation period distributions of COVID-19 on Chinese patients with different travel histories
by: Zuopeng Xiao, et al.
Published: (2020-04-01) -
Simulation Study on Freeway Toll Optimization Considering Bounded Rationality and Dynamic Relationships Among Toll Rates, Travel Demand, and Revenue
by: Juan Shao, et al.
Published: (2025-04-01) -
Bayesian Dynamic Linear Model with Adaptive Parameter Estimation for Short-Term Travel Speed Prediction
by: Tai-Yu Ma, et al.
Published: (2019-01-01) -
Proposing New Methods to Estimate the Safety Level in Different Parts of Freeway Interchanges
by: Hamid Behbahani, et al.
Published: (2018-01-01)