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초록
영어
Based on the thought of Logistic cumulative probability, this paper establishes the traffic state probability model under snow-ice condition on artery, and puts forward the corresponding parameters calibration method and model evaluation method; finally, using traffic flow survey data under snow-ice condition on Huanghe road and Hongqi street in a city to analysis and forecast traffic state, put forward traffic state prewarning index, and combining the analysis results, present the corresponding traffic management strategy and guidance suggestion.
목차
Abstract
1. Introduction
2. Traffic State Probability Model Research Ideas
2.1 Probability Analysis Method for State Variable
2.2 Analysis by the Probability Model for Predicting Traffic State
2.3. Estimation of Parameters of Traffic State Probability Model
3. Precision Evaluation of the Traffic State Probability Model
3.1. Evaluation of the Model’s Fitting Degree
3.2. Evaluation of the Model’s Prediction Precision
4. Experiment Design and Discussion
4.1 Data Survey
4.2. Data Processing
4.3. Analysis of Results
5. Conclusion
References
1. Introduction
2. Traffic State Probability Model Research Ideas
2.1 Probability Analysis Method for State Variable
2.2 Analysis by the Probability Model for Predicting Traffic State
2.3. Estimation of Parameters of Traffic State Probability Model
3. Precision Evaluation of the Traffic State Probability Model
3.1. Evaluation of the Model’s Fitting Degree
3.2. Evaluation of the Model’s Prediction Precision
4. Experiment Design and Discussion
4.1 Data Survey
4.2. Data Processing
4.3. Analysis of Results
5. Conclusion
References
저자정보
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