Identifying the Factors Contributing to Freeway Crash Severity Based on Discrete Choice Models
出版年份 2023 全文链接
标题
Identifying the Factors Contributing to Freeway Crash Severity Based on Discrete Choice Models
作者
关键词
-
出版物
Sustainability
Volume 15, Issue 3, Pages 1805
出版商
MDPI AG
发表日期
2023-01-18
DOI
10.3390/su15031805
参考文献
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- (2022) Chamroeun Se et al. International Journal of Injury Control and Safety Promotion
- Exploring factors affecting the injury severity of freeway tunnel crashes: A random parameters approach with heterogeneity in means and variances
- (2022) Amjad Pervez et al. ACCIDENT ANALYSIS AND PREVENTION
- Exploring Factors Associated with Cyclist Injury Severity in Vehicle-Electric Bicycle Crashes Based on a Random Parameter Logit Model
- (2021) Fei Ye et al. JOURNAL OF ADVANCED TRANSPORTATION
- Investigating the severity of expressway crash based on the random parameter logit model accounting for unobserved heterogeneity
- (2021) Fei Ye et al. Advances in Mechanical Engineering
- A Random Parameters Ordered Probit Analysis of Injury Severity in Truck Involved Rear-End Collisions
- (2020) Xiaojun Shao et al. International Journal of Environmental Research and Public Health
- Reliability allocation methods: A systematic literature review
- (2020) Antonio Forcina et al. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
- Examination of driver injury severity in freeway single-vehicle crashes using a mixed logit model with heterogeneity-in-means
- (2019) Qinzhong Hou et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- A novel feature extraction model for traffic injury severity and its application to Fatality Analysis Reporting System data analysis
- (2019) Lixin Yan et al. SCIENCE PROGRESS
- Application of a random effects negative binomial model to examine crash frequency for freeways in China
- (2018) Qinzhong Hou et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- The Effects of Traffic Composition on Freeway Crash Frequency by Injury Severity: A Bayesian Multivariate Spatial Modeling Approach
- (2018) Huiying Wen et al. JOURNAL OF ADVANCED TRANSPORTATION
- Modeling Head-On Crash Severity On NCDOT Freeways: A Mixed Logit Model Approach
- (2018) Pengfei Liu et al. CANADIAN JOURNAL OF CIVIL ENGINEERING
- Bayesian Hierarchical Modeling Monthly Crash Counts on Freeway Segments with Temporal Correlation
- (2017) Qiang Zeng et al. JOURNAL OF ADVANCED TRANSPORTATION
- Understanding and interpreting generalized ordered logit models
- (2016) Richard Williams JOURNAL OF MATHEMATICAL SOCIOLOGY
- Driving performance comparing older versus younger drivers
- (2016) Shadi Doroudgar et al. Traffic Injury Prevention
- Exploring factors affecting injury severity of crashes in freeway tunnels
- (2016) Zhuanglin Ma et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Modeling Crash Rates for a Mountainous Highway by Using Refined-Scale Panel Data
- (2015) Xiaoxiang Ma et al. TRANSPORTATION RESEARCH RECORD
- Analyzing crash injury severity for a mountainous freeway incorporating real-time traffic and weather data
- (2013) Rongjie Yu et al. SAFETY SCIENCE
- Distance-based outlier queries in data streams: the novel task and algorithms
- (2010) Fabrizio Angiulli et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Global status report on road safety
- (2009) T. Toroyan INJURY PREVENTION
- Exploring Impacts of Factors Contributing to Injury Severity at Freeway Diverge Areas
- (2009) Zhenyu Wang et al. TRANSPORTATION RESEARCH RECORD
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