Car-following crash risk analysis in a connected environment: A Bayesian non-stationary generalised extreme value model
出版年份 2023 全文链接
标题
Car-following crash risk analysis in a connected environment: A Bayesian non-stationary generalised extreme value model
作者
关键词
-
出版物
Analytic Methods in Accident Research
Volume 39, Issue -, Pages 100278
出版商
Elsevier BV
发表日期
2023-04-25
DOI
10.1016/j.amar.2023.100278
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Assessing traffic conflict/crash relationships with extreme value theory: Recent developments and future directions for connected and autonomous vehicle and highway safety research
- (2023) Yasir Ali et al. Analytic Methods in Accident Research
- Examining braking behaviour during failed lane-changing attempts in a simulated connected environment with driving aids
- (2022) Yasir Ali et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A Bayesian correlated grouped random parameters duration model with heterogeneity in the means for understanding braking behaviour in a connected environment
- (2022) Yasir Ali et al. Analytic Methods in Accident Research
- Predicting and explaining lane-changing behaviour using machine learning: A comparative study
- (2022) Yasir Ali et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- 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
- Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors
- (2021) Anshuman Sharma et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- CLACD: A complete LAne-Changing decision modeling framework for the connected and traditional environments
- (2021) Yasir Ali et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Evidence for the Crash Avoidance Effectiveness of Intelligent and Connected Vehicle Technologies
- (2021) Hong Tan et al. International Journal of Environmental Research and Public Health
- Stop or go decisions at the onset of yellow light in a connected environment: A hybrid approach of decision tree and panel mixed logit model
- (2021) Yasir Ali et al. Analytic Methods in Accident Research
- A systematic review of traffic conflict-based safety measures with a focus on application context
- (2021) Ashutosh Arun et al. Analytic Methods in Accident Research
- A Multi-Agent Driving Simulation Approach for Evaluating the Safety Benefits of Connected Vehicles
- (2021) Jieun Ko et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- 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
- A novel approach for real time crash prediction at signalized intersections
- (2020) Lai Zheng et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Comparing the usefulness of real-time driving aids in a connected environment during mandatory and discretionary lane-changing manoeuvres
- (2020) Yasir Ali et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Comparison of Traffic Conflict Indicators for Crash Estimation using Peak Over Threshold Approach
- (2019) Lai Zheng et al. TRANSPORTATION RESEARCH RECORD
- Combined connected vehicles and variable speed limit strategies to reduce rear-end crash risk under fog conditions
- (2019) Yina Wu et al. Journal of Intelligent Transportation Systems
- A hazard-based duration model to quantify the impact of connected driving environment on safety during mandatory lane-changing
- (2019) Yasir Ali et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Examination and prediction of drivers’ reaction when provided with V2I communication-based intersection maneuver strategies
- (2019) Bo Yu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A Comprehensive Review of Driver Behavior Analysis Utilizing Smartphones
- (2019) Teck Kai Chan et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A pattern recognition algorithm for assessing trajectory completeness
- (2018) Anshuman Sharma et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Modeling Driver Behavior in a Connected Environment
- (2016) Alireza Talebpour et al. TRANSPORTATION RESEARCH RECORD
- Field operational test of advanced driver assistance systems in typical Chinese road conditions: The influence of driver gender, age and aggression
- (2015) G. Li et al. INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
- The impact of mobile phone distraction on the braking behaviour of young drivers: A hazard-based duration model
- (2015) Md. Mazharul Haque et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Age and Gender Differences in Time to Collision at Braking From the 100-Car Naturalistic Driving Study
- (2014) Jade Montgomery et al. Traffic Injury Prevention
- Do cooperative systems make drivers’ car-following behavior safer?
- (2014) Haneen Farah et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Derivation and Validation of New Simulation-Based Surrogate Safety Measure
- (2009) Kaan Ozbay et al. TRANSPORTATION RESEARCH RECORD
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