Identification of adequate sample size for conflict-based crash risk evaluation: An investigation using Bayesian hierarchical extreme value theory models
出版年份 2023 全文链接
标题
Identification of adequate sample size for conflict-based crash risk evaluation: An investigation using Bayesian hierarchical extreme value theory models
作者
关键词
-
出版物
Analytic Methods in Accident Research
Volume 39, Issue -, Pages 100281
出版商
Elsevier BV
发表日期
2023-04-29
DOI
10.1016/j.amar.2023.100281
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。- Assessing a Connected Environment's Safety Impact During Mandatory Lane-Changing: A Block Maxima Approach
- (2022) Yasir Ali et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- How many are enough?: Investigating the effectiveness of multiple conflict indicators for crash frequency-by-severity estimation by automated traffic conflict analysis
- (2022) Ashutosh Arun et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Using traffic flow characteristics to predict real-time conflict risk: A novel method for trajectory data analysis
- (2022) Chen Yuan et al. Analytic Methods in Accident Research
- A hybrid modelling framework of machine learning and extreme value theory for crash risk estimation using traffic conflicts
- (2022) Fizza Hussain et al. Analytic Methods in Accident Research
- A multivariate method for evaluating safety from conflict extremes in real time
- (2022) Chuanyun Fu et al. Analytic Methods in Accident Research
- A Bayesian generalised extreme value model to estimate real-time pedestrian crash risks at signalised intersections using artificial intelligence-based video analytics
- (2022) Yasir Ali et al. Analytic Methods in Accident Research
- Dynamic identification of short-term and longer-term hazardous locations using a conflict-based real-time extreme value safety model
- (2022) Tarek Ghoul et al. Analytic Methods in Accident Research
- Random parameters Bayesian hierarchical modeling of traffic conflict extremes for crash estimation
- (2021) Chuanyun Fu et al. ACCIDENT ANALYSIS AND PREVENTION
- Multi-type Bayesian hierarchical modeling of traffic conflict extremes for crash estimation
- (2021) Chuanyun Fu et al. ACCIDENT ANALYSIS AND PREVENTION
- A bivariate extreme value model for estimating crash frequency by severity using traffic conflicts
- (2021) Ashutosh Arun et al. Analytic Methods in Accident Research
- The impact of higher speed limits on the frequency and severity of freeway crashes: Accounting for temporal shifts and unobserved heterogeneity
- (2021) Nawaf Alnawmasi et al. Analytic Methods in Accident Research
- An Extreme Value Theory approach to estimate crash risk during mandatory lane-changing in a connected environment
- (2021) Yasir Ali et al. Analytic Methods in Accident Research
- Bayesian dynamic extreme value modeling for conflict-based real-time safety analysis
- (2021) Chuanyun Fu et al. Analytic Methods in Accident Research
- From univariate to bivariate extreme value models: Approaches to integrate traffic conflict indicators for crash estimation
- (2019) Lai Zheng et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Analysis of crash frequency using a Bayesian underreporting count model with spatial correlation
- (2019) Qiang Zeng et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Traffic conflict models to evaluate the safety of signalized intersections at the cycle level
- (2018) Mohamed Essa et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Models to evaluate the severity of pedestrian-vehicle conflicts in five cities
- (2018) Ahmed Tageldin et al. Transportmetrica A-Transport Science
- Analysis of Rear-End Conflicts in Urban Networks using Bayesian Networks
- (2018) Katerina Stylianou et al. TRANSPORTATION RESEARCH RECORD
- A Novel Technique to Identify Hot Zones for Active Commuters’ Crashes
- (2018) Ahmed Osama et al. TRANSPORTATION RESEARCH RECORD
- Collision prediction in roundabouts: a comparative study of extreme value theory approaches
- (2018) Federico Orsini et al. Transportmetrica A-Transport Science
- Conflict-Based Safety Performance Functions for Predicting Traffic Collisions by Type
- (2016) Emanuele Sacchi et al. TRANSPORTATION RESEARCH RECORD
- Safety performance functions using traffic conflicts
- (2012) Karim El-Basyouny et al. SAFETY SCIENCE
- A methodology for calculating sample size to assess localized corrosion of process components
- (2011) Mohamed Khalifa et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Derivation and Validation of New Simulation-Based Surrogate Safety Measure
- (2009) Kaan Ozbay et al. TRANSPORTATION RESEARCH RECORD
- Urban Arterial Accident Prediction Models with Spatial Effects
- (2009) Karim El-Basyouny et al. TRANSPORTATION RESEARCH RECORD
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started