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Short-term highway traffic state prediction using structural state space models
Chung-Cheng Lu
*
, Xuesong Zhou
*
此作品的通信作者
運輸與物流管理學系
研究成果
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同行評審
28
引文 斯高帕斯（Scopus）
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Keyphrases
Structural State
100%
State-space Model
100%
Highway Traffic
100%
Traffic State Prediction
100%
Structural Deviation
100%
Traffic State
75%
Historical Patterns
50%
Non-recurring
50%
Northern Taiwan
25%
Numerical Experiments
25%
Adaptive Adjustment
25%
Prediction Method
25%
Temporal Evolution
25%
Recurring
25%
Kalman Filter
25%
Capacity Reduction
25%
Random Error
25%
Algorithm Framework
25%
Traffic Pattern
25%
Random Fluctuations
25%
Kalman Filter Algorithm
25%
Short-term Traffic Flow Prediction
25%
Analytical Form
25%
Demand Variation
25%
Robust Approach
25%
Prediction Approach
25%
Highway Network
25%
Single Bottleneck
25%
Cumulative Flow
25%
Flow Count
25%
Polynomial Trends
25%
Polynomial Trend Model
25%
Model Patterns
25%
Computer Science
State Space
100%
Experimental Result
50%
Temporal Evolution
50%
Traffic Pattern
50%
Robust Approach
50%
Filtering Method
50%
Accurate Forecast
50%
Analytical Form
50%
Engineering
Filtration
100%
Experimental Result
50%
Numerical Experiment
50%
Temporal Evolution
50%
Capacity Reduction
50%
Random Error
50%
Traffic Pattern
50%
Random Fluctuation
50%
Earth and Planetary Sciences
Taiwan
100%
Temporal Evolution
100%
Test Stand
100%
Random Error
100%