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Accident; Analysis and Prevention
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December 10, 2013
Bayesian methodology to estimate and update safety performance functions under limited data conditions: a sensitivity analysis
Shahram Heydari, Luis F Miranda-Moreno, Dominique Lord, et al.
Accident; Analysis and Prevention
|
March 27, 2022
Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety
Ali Khodadadi, Ioannis Tsapakis, Mohammadali Shirazi, et al.
Accident; Analysis and Prevention
|
November 17, 2015
Re-visiting crash-speed relationships: A new perspective in crash modelling
Maria-Ioanna M Imprialou, Mohammed Quddus, David E Pitfield, et al.
Accident; Analysis and Prevention
|
April 13, 2021
Toward a crowdsourcing solution to identify high-risk highway segments through mining driving jerks
Xiao Li, Seyedeh Maryam Mousavi, Bahar Dadashova, et al.
Accident; Analysis and Prevention
|
February 11, 2021
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research
Soheil Sohrabi, Ali Khodadadi, Seyedeh Maryam Mousavi, et al.
Accident; Analysis and Prevention
|
January 1, 2025
Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models
Mohammad Anis, Sixu Li, Srinivas R Geedipally, et al.
Accident; Analysis and Prevention
|
June 11, 2011
The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives
Peter T Savolainen, Fred L Mannering, Dominique Lord, et al.
Traffic Injury Prevention
|
March 12, 2020
Analysis of crash injury severity on two trans-European transport network corridors in Spain using discrete-choice models and random forests
Bahar Dadashova, Blanca Arenas-Ramires, Jose Mira-McWillaims, et al.
Accident; Analysis and Prevention
|
May 12, 2025
Why anticipatory sensing matters in commercial ACC systems under cut-in scenarios: A perspective from stochastic safety analysis
Hao Zhang, Sixu Li, Zihao Li, et al.
Accident; Analysis and Prevention
|
June 2, 2024
Beyond 1D and oversimplified kinematics: A generic analytical framework for surrogate safety measures
Sixu Li, Mohammad Anis, Dominique Lord, et al.
Page
of 7
Search research articles
Search
Showing results (51-60 of 70) with videos related to
Sort By:
Page
of 7
Accident; Analysis and Prevention
|
December 10, 2013
Bayesian methodology to estimate and update safety performance functions under limited data conditions: a sensitivity analysis
Shahram Heydari, Luis F Miranda-Moreno, Dominique Lord, et al.
Accident; Analysis and Prevention
|
March 27, 2022
Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety
Ali Khodadadi, Ioannis Tsapakis, Mohammadali Shirazi, et al.
Accident; Analysis and Prevention
|
November 17, 2015
Re-visiting crash-speed relationships: A new perspective in crash modelling
Maria-Ioanna M Imprialou, Mohammed Quddus, David E Pitfield, et al.
Accident; Analysis and Prevention
|
April 13, 2021
Toward a crowdsourcing solution to identify high-risk highway segments through mining driving jerks
Xiao Li, Seyedeh Maryam Mousavi, Bahar Dadashova, et al.
Accident; Analysis and Prevention
|
February 11, 2021
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research
Soheil Sohrabi, Ali Khodadadi, Seyedeh Maryam Mousavi, et al.
Accident; Analysis and Prevention
|
January 1, 2025
Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models
Mohammad Anis, Sixu Li, Srinivas R Geedipally, et al.
Accident; Analysis and Prevention
|
June 11, 2011
The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives
Peter T Savolainen, Fred L Mannering, Dominique Lord, et al.
Traffic Injury Prevention
|
March 12, 2020
Analysis of crash injury severity on two trans-European transport network corridors in Spain using discrete-choice models and random forests
Bahar Dadashova, Blanca Arenas-Ramires, Jose Mira-McWillaims, et al.
Accident; Analysis and Prevention
|
May 12, 2025
Why anticipatory sensing matters in commercial ACC systems under cut-in scenarios: A perspective from stochastic safety analysis
Hao Zhang, Sixu Li, Zihao Li, et al.
Accident; Analysis and Prevention
|
June 2, 2024
Beyond 1D and oversimplified kinematics: A generic analytical framework for surrogate safety measures
Sixu Li, Mohammad Anis, Dominique Lord, et al.
Page
of 7