Highway Traffic Crash Risk Prediction Method considering Temporal Correlation Characteristics
出版年份 2023 全文链接
标题
Highway Traffic Crash Risk Prediction Method considering Temporal Correlation Characteristics
作者
关键词
-
出版物
JOURNAL OF ADVANCED TRANSPORTATION
Volume 2023, Issue -, Pages 1-13
出版商
Hindawi Limited
发表日期
2023-02-16
DOI
10.1155/2023/9695433
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Identification of dynamic traffic crash risk for cross-area freeways based on statistical and machine learning methods
- (2022) Yang Yang et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Predicting Freeway Traffic Crash Severity Using XGBoost-Bayesian Network Model with Consideration of Features Interaction
- (2022) Yang Yang et al. JOURNAL OF ADVANCED TRANSPORTATION
- A Parallel FP-Growth Mining Algorithm with Load Balancing Constraints for Traffic Crash Data
- (2022) Yang Yang et al. International Journal of Computers Communications & Control
- Exploring Traffic Crash Occurrence Mechanism toward Cross-Area Freeways via an Improved Data Mining Approach
- (2022) Yang Yang et al. Journal of Transportation Engineering Part A-Systems
- A highway crash risk assessment method based on traffic safety state division
- (2020) Dongye Sun et al. PLoS One
- A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction
- (2020) Linchao Li et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Real-time traffic incident detection based on a hybrid deep learning model
- (2020) Linchao Li et al. Transportmetrica A-Transport Science
- Identifying Factors that Influence the Patterns of Road Crashes Using Association Rules: A case Study from Wisconsin, United States
- (2019) Shuai Yu et al. Sustainability
- A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections
- (2019) Wencheng Wang et al. JOURNAL OF ADVANCED TRANSPORTATION
- Factors influencing traffic accident frequencies on urban roads: A spatial panel time-fixed effects error model
- (2019) Wencheng Wang et al. PLoS One
- Bayesian networks for mathematical models: Techniques for automatic construction and efficient inference
- (2012) Catherine G. Enright et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives
- (2010) Dominique Lord et al. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
- Using dynamic Bayesian network for scene modeling and anomaly detection
- (2009) Imran N. Junejo Signal Image and Video Processing
- Conditional Variable Importance for Random Forests
- (2008) Carolin Strobl et al. BMC BIOINFORMATICS
- Empirical characterization of random forest variable importance measures
- (2007) Kellie J. Archer et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
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