ges crss

NHTSA General Estimates System / Crash Report Sampling System.

391 papers carry this dataset tag, of 5322 that declare a dataset at all (62594 papers carry any topic). Absence here means undeclared, not absent.

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Newest 200 shown. For the full set, or to combine this with a topic, use the catalogue search.

Crashes Involving Animals: Prevalence and Characteristics · 2026 · AAA Foundation for Traffic Safety
Hybrid dimension reduction and logit models for glare-induced crash severity · 2026 · Tusti, Anannya Ghosh et al.
Alternative approaches to network-wide road safety assessment · 2026 · Andrášik, Richard et al.
Temporal dynamics in barrier-involved crashes: Determining shifts in driving behavior and injury risk across multi-year periods. · 2026 · Barua, S et al.
A Multi-Objective Machine Learning Approach for Crash Severity Prediction under Class Imbalance in Less-Regulated Driving Environments ↗ · 2026 · Dangut, Maren Davi
Crash Severity Prediction as Multi-Objective Decision Optimisation: A Cost-Sensitive Pareto-Efficient Ensemble for Less-Regulated Driving Environments ↗ · 2026 · Dangut, Maren Davi
What factors affect the match rates of police and emergency department data in Sweden’s road traffic crash database Strada? ↗ · 2026 · Forsman, Åsa et al.
Modeling injury severity among motor vehicle occupants using a safe system-aligned, population-based framework: evidence from Ohio crash data (2017-2023). · 2026 · Harden, AL et al.
Event-Level Road Crash Severity Assessment Using Calibrated Risk Scoring ↗ · 2026 · Hossain, Md Shahadat
Linking Oregon Driver Records and Crash Data to Evaluate Interventions and Mitigate Driver Risk · 2026 · Hurwitz, David et al.
Reliability Analysis of the Empirical Bayes Method in Estimating Crash Frequency on Two-Lane, Two-Way Rural Highways ↗ · 2026 · Saedi, Hossein et al.
Reliability-based assessment of road design features and crash risk using a socio-economic index for safety prioritization · 2026 · Saedi, Hossein et al.
Examining Traffic Safety across Communities: A National Perspective and Case Studies in Arizona, Maryland, North Carolina, and Oregon · 2025 · AAA Foundation for Traffic Safety
The Safety Impact of Road Debris: Updated Prevalences of Crashes, Injuries, and Deaths in the United States, 2018–2023 · 2025 · AAA Foundation for Traffic Safety
Income-Based Disparities in Fatal Interstate Crashes: An Association Rule Analysis of Contributing Factors from the NHTSA FARS Dataset ↗ · 2025 · Abbaszadeh Lima, Mohammad Reza et al.
Improving the Efficiency and Quality of Road Crashes Data in the Sultanate of Oman: Evidence-Based Recommendations · 2025 · Al Aamri, Amira et al.
Capturing-Recapturing of Road Traffic Death and Injury Estimation ↗ · 2025 · Almadani, Hashim MN
International Traffic Injury Databases ↗ · 2025 · Almadani, Hashim MN
Linking and Sampling Efforts in Predicting Road Traffic Crash Population ↗ · 2025 · Almadani, Hashim MN
Underreporting of Road Traffic Casualties ↗ · 2025 · Almadani, Hashim MN
Safe System Research and Implementation: Final Report · 2025 · Banerjee, Ipsita et al.
A systematic review on GIS-based road traffic accidents analysis and road safety audit ↗ · 2025 · Endashaw, Destaw Kifile et al.
Comparability of driving automation crash databases ↗ · 2025 · Goodall, Noah J.
Challenges and recommendations using surrogates for safety impact assessment: correcting misestimations ↗ · 2025 · Bärgman, Jonas et al.
Method for recovering data on unreported low-severity crashes ↗ · 2025 · Morando, Alberto
NHTSA crash investigation sampling system (CISS) is unreliable, inaccurate and does not estimate serious injury in motor vehicle crashes ↗ · 2025 · Viano, David C.
Model-Based Generation of Representative Rear-End Crash Scenarios Across the Full Severity Range Using Pre-Crash Data ↗ · 2025 · Wu, Jian et al.
Elevating Traffic Safety in Native American Communities: A Comprehensive Approach with Online Mapping and Crowdsourcing Solutions · 2025 · Zhang, Su et al.
Drowsy Driving in Fatal Crashes, United States, 2017–2021 · 2024 · AAA Foundation for Traffic Safety
Reliable crash analysis: Comparing biases and error rates of empirical Bayes before-after analyses to mixed-models ↗ · 2024 · Albrecht, Matthew et al.
An Econometric Analysis to Explore the Temporal Variability of the Factors Affecting Crash Severity Due to COVID-19 · 2024 · Alrumaidhi, Mubarak et al.
Reliability of Self-Reported Road Crash and Violation Data of Professional Drivers: The Case of Qatar · 2024 · Arshi, Abubeker Nemo et al.
Pilot Study on Improving Crash Data Accuracy in Kentucky through University Collaboration · 2024 · Fields, Michael A. et al.
Estimating the Effects of Vehicle Automation and Vehicle Weight and Size on Crash Frequency and Severity: Phase 1 · 2024 · Harper, Corey et al.
A comparison of patterns and contributing factors of ADAS and ADS involved crashes · 2024 · Yan, Song et al.
Reduce Fatal & Serious Injury Crashes · 2024 · Kurkcu, Abdullah et al.
Construction Work Zone Safety: Spatio-Temporal Analysis of Construction Work Zone Crashes · 2024 · Mashhadi, Ali Hassandokht et al.
AI and Decision Support Systems for Crash Preventability PAR Processing · 2024 · Miller, Andrew et al.
A Note on Tesla's revised safety report crash rates · 2024 · Goodall, Noah J.
Statistical estimation of fatal and serious injuries saved by iRAP protocols in 74 countries · 2024 · Li, Qingfeng et al.
Benchmarks for retrospective automated driving system crash rate analysis using police-reported crash data ↗ · 2024 · Scanlon, John M. et al.
Data Acquisition and Processing for the Optimization of an Algorithm for Vehicle Safety Objective Rating Metrics and Injury Severity Prediction ↗ · 2024 · Williams, Katelyn et al.
An Impact of Traffic Characteristics on Crash Frequency · 2023 · Al-Nuaimi, Atheer et al.
Comparative Analysis of Parametric and Non-Parametric Data-Driven Models to Predict Road Crash Severity among Elderly Drivers Using Synthetic Resampling Techniques · 2023 · Alrumaidhi, Mubarak et al.
Identification of determinant factors for crash severity levels occurred in Addis Ababa City, Ethiopia, from 2017 to 2020: using ordinal logistic regression model approach · 2023 · Bekelcho, Tariku et al.
A scientometric analysis and bibliometric review of driver injury severity crashes studies · 2023 · Das, Subasish
A Review of Surrogate Safety Measures Uses in Historical Crash Investigations ↗ · 2023 · Nikolaou, Dimitrios et al.
Understanding the factors of road crash severity in Benin: a matched case-control study · 2023 · Daddah, Donatien et al.
A comparison of licensed driver counts from the Federal Highway Administration and driver licensing agencies in 11 states ↗ · 2023 · Evans, Alexander et al.
Normalizing Crash Risk of Partially Automated Vehicles under Sparse Data · 2023 · Goodall, Noah J.
Analysis of Ground Ambulance Crash Data From 2012 to 2018 · 2023 · Graham, Lindsey A. et al.
Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2 · 2023 · Khattak, Asad J. et al.
How can front crash prevention systems address more police-reported crashes in the United States? ↗ · 2023 · Kidd, David G. et al.
Two decades of nonfatal injury data: a scoping review of the National Electronic Injury Surveillance System-All Injury Program, 2001–2021 · 2023 · Navon, Livia et al.
A Note on Tesla's Revised Safety Report Crash Rates · 2023 · Goodall, Noah
Assessing the Performance of Highway Safety Manual (HSM) Predictive Models for Brazilian Multilane Highways · 2023 · Mendes, Olga Beatriz Barbosa et al.
Improving Law Enforcement and Emergency Response to Disabled Vehicle Crashes Using Waze Crowdsourced Data ↗ · 2023 · Sandt, Adrian et al.
Application of Extremely Randomised Trees for exploring influential factors on variant crash severity data · 2022 · Afshar, Farshid et al.
Using Machine Learning Models to Forecast Severity Level of Traffic Crashes by R Studio and ArcGIS · 2022 · Al-Mistarehi, Bara’ W. et al.
A novel Road User Safety Field Theory for traffic safety assessment applying video analytics · 2022 · Arun, Ashutosh
Crash severity analysis and risk factors identification based on an alternate data source: a case study of developing country ↗ · 2022 · Bhuiyan, Hanif et al.
Combined Behavioral and Engineering Approach to Preventing Highway Fatalities · 2022 · Blandford, Benjamin et al.
How to Collect Tribal Crash Data Properly? Experience from a New Wisconsin Crash Reporting System ↗ · 2022 · Chen, Tianyi et al.
Enhancing Crash Data Reporting to Highway Safety Partners in Wyoming by Utilizing Big Data Analysis and Survey Techniques · 2022 · Farid, Ahmed et al.
Heavy vehicle crashes in Addis Ababa: Relationship between contributing factors and severity of outcomes · 2022 · Tulu, Getu Segni et al.
Expanding the Oregon Motor Carrier Safety Action Plan: Best Return on Investment · 2022 · Hernandez, Salvador et al.
Completeness of police reporting of traffic crashes in Nepal: Evaluation using a community crash recording system ↗ · 2022 · Khadka, Anish et al.
Detecting Change in Community Traffic Safety Attitudes [Traffic Tech] · 2022 · NHTSA
Risk Factors Associated With Crash Injury Severity Involving Trucks · 2022 · Pulugurtha, Srinivas S. et al.
GIS techniques to analyze factors associated with crash occurrence · 2022 · Sagar, Shraddha et al.
Improving Roadside Responder Crash Data: Outcomes from an Expert Roundtable Discussion · 2021 · AAA Foundation for Traffic Safety
Developing Crash Modification Factors for Guardrails, Utility Poles, and Side-Slope Improvements [techbrief] · 2021 · Avelar, Raul et al.
Topic Models from Crash Narrative Reports of Motorcycle Crash Causation Study · 2021 · Das, Subasish et al.
Potential Crash Rate Benchmarks for Automated Vehicles · 2021 · Goodall, Noah J.
Arkansas: Highway Safety Improvement Program 2021 Annual Report · 2021 · NHTSA
New Hampshire: Highway Safety Improvement Program 2021 Annual Report · 2021 · NHTSA
Electronic crash reporting: Implementation of the Model Minimum Uniform crash Criteria (MMUCC) and crash record life cycle comparison ↗ · 2021 · Nie, Qifan et al.
Detecting Risk Factors of Road Work Zone Crashes from the Information Provided in Police Crash Reports: The Case Study of Portugal ↗ · 2021 · Santos, Bertha et al.
Burden of Road Traffic Injuries in the Eastern Mediterranean Region · 2021 · Sengoelge, Mathilde et al.
Examining the impacts of crash data aggregation on SPF estimation ↗ · 2021 · Sengupta, Agnimitra et al.
Validating the representativeness assumption of the quasi-induced exposure method using a national representative field observation survey ↗ · 2021 · Shen, Sijun et al.
Advancing Indian Nations’ Motor Vehicle Crash Reporting ↗ · 2021 · Vachal, Kimberly
Advancing the Behavioral Safety Analytic Tools Capabilities of the Connecticut Department of Transportation · 2021 · Wang, Kai et al.
Estimated number of seriously injured road users admitted to hospital in France between 2010 and 2017, based on medico-administrative data · 2021 · Zullo, Anthony et al.
Crash data reporting systems in fourteen Arab countries: challenges and improvement ↗ · 2020 · Abounoas, Zahira et al.
Police motorcycle crash casualty reports and their linkage with hospital trauma admissions in the Midland Region of New Zealand, 2012-2016 · 2020 · Smith, Alastair et al.
Assessment of the Impact of Namibian Rural Road Characteristics on Crash Incidence · 2020 · Ambunda, Robert et al.
Monitoring India's progress on road safety will require investment in data systems ↗ · 2020 · Bhalla, Kavi
Traffic Tech: The 2016 Motor Vehicle Occupant Safety Survey: Emergency Medical Services · 2020 · Carson, Leslie et al.
Extremely serious crashes on urban roadway networks: Patterns and trends · 2020 · Das, Subasish et al.
Uncovering Deep Structure of Determinants in Large Truck Fatal Crashes · 2020 · Das, Subasish et al.
2016 Motor Vehicle Occupant Safety Survey, Volume #4: Emergency Medical Services, Crash Injury Experience, and Other Traffic Safety Topics · 2020 · Diecker, Kelly et al.
The Development of Crash Modification Factors: Highway Safety Statistical Paper Synthesis · 2020 · Donnell, Eric T. et al.
Performance of the routine health information system for epidemiological surveillance of road traffic injuries in Benin · 2020 · Dosten, Kpozèhouen et al.
Replicating the Levitt and Porter estimates of drunk driving ↗ · 2020 · Dunn, Richard A. et al.
Crash Avoidance Technology Evaluation Using Real-World Crash Data · 2020 · Flannagan, Carol A. et al.
Assessment of Crash Location Accuracy in Electronic Crash Reporting Systems ↗ · 2020 · Iqbal, Adika M. et al.
Modeling highly imbalanced crash severity data by ensemble methods and global sensitivity analysis ↗ · 2020 · Jiang, Liming et al.
Awareness and Availability of Child Passenger Safety Information Resources · 2020 · Levi, Sharon et al.
Accident data analysis and on-field inspections: do they lead to similar conclusions? · 2020 · Persia, Luca et al.
Large‐scale road safety evaluation using extreme value theory · 2020 · Orsini, Federico et al.
Spatial analysis of road crash frequency using Bayesian models with Integrated Nested Laplace Approximation (INLA) · 2020 · Satria, Romi et al.
Effect of Socioeconomic Factors on Crash Occurrence · 2020 · Stamatiadis, Nikiforos et al.
Construction of Key Factor Model of Car Side-Impact Occupant Injury Based on Nais Deep Investigation of Traffic Accident Data ↗ · 2020 · Wang, Yan et al.
Bayesian networks for imbalance data to investigate the contributing factors to fatal injury crashes on the Ghanaian highways ↗ · 2020 · Yahaya, Mahama et al.
How Data Imputation Affects Crash Modeling Results · 2020 · Adediji, Yemi et al.
Data Necessary to Develop a Sentinel Surveillance System for Drug Use by Drivers in Crashes: A Review of the Existing Landscape · 2019 · AAA Foundation for Traffic Safety
Magnitude of road traffic accident related injuries and fatalities in Ethiopia · 2019 · Abegaz, Teferi et al.
Applying the capture-recapture method to estimate road traffic deaths and injuries in three non-contiguous cities in the Philippines ↗ · 2019 · Rivera, Adovich Sarmiento et al.
Clustering Approach toward Large Truck Crash Analysis ↗ · 2019 · Rahimi, Alireza et al.
Road Safety in Brief · 2019 · Granà, Anna
Applying Bayesian data mining to measure the effect of vehicular defects on crash severity · 2019 · Das, Subasish et al.
Advanced Automatic Collision Notification Research Report · 2019 · Lee, E. et al.
A Review of the Traffic Accidents and Related Practices Worldwide · 2019 · Mohammed, Ali Ahmed et al.
Evaluation of a hospital-based injury surveillance system for monitoring road traffic deaths in Phuket, Thailand · 2019 · Nittayasoot, Natthaprang et al.
Potential Uses of Reduced Datasets from the Roadway Information Database: A White Paper · 2019 · Porter, Richard J. et al.
Identifying Highly Correlated Variables Relating to the Potential Causes of Reportable Wisconsin Traffic Crashes · 2019 · Qin, Xiao et al.
Traffic Crash Variables in Wisconsin [Research Brief] · 2019 · Qin, Xiao
Burden of Road Traffic Injuries in the Eastern Mediterranean Region · 2019 · Sengoelge, Mathilde et al.
Evaluation of Not-At-Fault Assumption in Quasi-Induced Exposure Method using Traffic Crash Data at Varied Geographical Levels ↗ · 2019 · Zhao, Shanshan et al.
Validation of not-at-fault driver representativeness assumption for quasi-induced exposure using U.S. national traffic databases ↗ · 2019 · Shen, Sijun et al.
Investigation of the Accuracy of Alcohol and Drug Involvement Reporting · 2019 · Staats, William
Exploratory spatial analysis of traffic crashes, road mortality and morbidity in Nigeria ↗ · 2019 · Akinyemi, Yingigba Chioma
Prevalence of Drowsy Driving Crashes: Estimates from a Large-Scale Naturalistic Driving Study · 2018 · AAA Foundation for Traffic Safety
An international review of challenges and opportunities in development and use of crash prediction models · 2018 · Ambros, Jiří et al.
Cross Sectional Crash Severity Analysis among Various Vehicle Driver Characteristics · 2018 · Rassafi, Amir Abbas et al.
Bioinjury Implications of Pre-crash Safety Modeling and Intervention Investigators · 2018 · Bolte, John et al.
Safety Data Management and Analysis: Addressing the Continuing Education Needs for the Pacific Northwest (Phase 2) · 2018 · Chang, Kevin et al.
Vehicle Consumer Complaint Reports Involving Severe Incidents: Mining Large Contingency Tables · 2018 · Das, Subasish et al.
Aging Road User Survey and Crash Analysis to Identify Issues and Applicable Improvement Strategies for Kansas Conditions · 2018 · Dissanayake, Sunanda et al.
Using the multivariate spatio-temporal Bayesian model to analyze traffic crashes by severity · 2018 · Liu, Chenhui et al.
Work Zone Crash Performance Data Measurement · 2018 · Mishra, Sabyasachee et al.
Pocket Guide to Large Truck and Bus Statistics 2018 · 2018 · NHTSA
Field Test of New Mobile System for the Collection of Crash and Citation Data in Nevada · 2018 · Paz, Alexander et al.
Integrated System for Collecting and Reporting Crash and Citation Data ↗ · 2018 · Paz, Alexander et al.
Methods for investigating crash risk: Comparing case control with responsibility analysis ↗ · 2018 · Voas, Robert B. et al.
National Transportation Statistics (NTS) 2017 [4th Quarter] · 2018 · Sprung, Michael J. et al.
Improvement of Fatal Crash Analysis and Follow-Up · 2018 · Staats, William Nicholas et al.
Association rule analysis of factors contributing to extraordinarily severe traffic crashes in China ↗ · 2018 · Xu, Chengcheng et al.
Estimating Motor Carrier Management Information System Crash File Underreporting from Carrier Records · 2017 · Blower, Daniel
Federal Highway Administration Research and Technology National Household Travel Survey Program · 2017 · Chajka-Cadin, Lora et al.
Predictive analysis techniques for road accident injuries: A survey ↗ · 2017 · Chaudhary, Roopal et al.
Investigation on the wrong way driving crash patterns using multiple correspondence analysis · 2017 · Das, Subasish
Crash Data Safety Factors Evaluation · 2017 · Donnell, Eric T. et al.
Sleep-related crash characteristics: Implications for applying a fatigue definition to crash reports ↗ · 2017 · Filtness, A.J. et al.
INVESTIGATION OF ROADWAY GEOMETRIC AND TRAFFIC FLOW FACTORS FOR VEHICLE CRASHES USING SPATIOTEMPORAL INTERACTION · 2017 · Gill, G. et al.
Development of a prediction model for crash occurrence by analyzing traffic crash and citation data : final report. · 2017 · Gonzalez-Velez, Enrique et al.
Estimation of Safety Benefits for Heavy-Vehicle Crash Warning Applications Based on Vehicle-to-Vehicle Communications · 2017 · Guglielmi, John et al.
Macro-Level Modeling of Urban Transportation Safety: Case-Study of Mashhad (Iran) · 2017 · Mohammadi, Mehdi et al.
Development of Systemic Large Truck Safety Analyses · 2017 · Qi, Yi et al.
PERSPECTIVES FOR SURROGATE SAFETY STUDIES IN EAST-EUROPEAN COUNTRIES · 2017 · Ušpalytė-Vitkūnienė, Rasa et al.
Statistical Analysis of Vehicle Crashes in Mississippi Based on Crash Data from 2010 to 2014 · 2017 · Wang, Feng et al.
The Prevalence of Motor Vehicle Crashes Involving Road Debris, United States, 2011-2014 · 2016 · AAA Foundation for Traffic Safety
Reality of Road Safety Conditions at Critical Locations in Nablus City, Palestine with a Road Map for Future Interventions · 2016 · Al-Sahili, Khaled et al.
Comparative Analysis of the Large Truck Crash Causation Study and Naturalistic Driving Data · 2016 · Bocanegra, Joseph L et al.
Understanding traffic crash under-reporting: Linking police and medical records to individual and crash characteristics ↗ · 2016 · Janstrup, Kira H. et al.
What Is the Extent of Harm in Rail-Pedestrian Crashes? · 2016 · Khattak, Asad J. et al.
Pocket Guide to Large Truck and Bus Statistics 2016 · 2016 · NHTSA
Investigating Relationship Between Driving Patterns and Traffic Safety Using Smartphones Based Mobile Sensor Data · 2016 · Sahin, Olcay et al.
Mortality and Morbidity of Urban Road Traffic Crashes in Africa: Capture-Recapture Estimates in Bamako, Mali, 2012 · 2016 · Sango, Hammadoum A. et al.
Roadway safety analysis methodology for Utah : final report. · 2016 · Schultz, Grant G. et al.
Simulation on Vehicle Collision Accidents and Vehicle Safe Evaluation Based on Nais Platform ↗ · 2016 · Zicong, Zeng et al.
Exploring Spatial Non‐Stationarity and Varying Relationships between Crash Data and Related Factors Using Geographically Weighted Poisson Regression ↗ · 2015 · Afshin Shariat‐Mohaymany et al.
Estimating national road crash fatalities using aggregate data ↗ · 2015 · Ahmed, Anwaar et al.
Heavy Vehicle Crash Characteristics in Oman : 2009–2011 · 2015 · Al-Bulushi, Islam et al.
Initial Framework for Improving the Traffic Safety Culture in Kansas ↗ · 2015 · Bruner, Allison
The Economic and Societal Impact of Motor Vehicle Crashes, 2010 (Revised) · 2015 · Blincoe, Lawrence J. et al.
NIOSH national survey of long-haul truck drivers: Injury and safety · 2015 · Chen, Guang X. et al.
Portuguese two-lane highways: modelling crash frequencies for different temporal and spatial aggregation of crash data · 2015 · da Costa, Jocilene Otilia et al.
Estimating likelihood of future crashes for crash-prone drivers · 2015 · Das, Subasish
Identifying the Potential of Improved Heavy Truck Crashworthiness to Reduce Death and Injury for Truck Drivers · 2015 · Dobrovolny, Chiara Silvestri et al.
Pocket Guide to Large Truck and Bus Statistics 2015 · 2015 · NHTSA
The MUARC-TAC Enhanced Crash Investigation Study: using event data recorders and simulated crash reconstructions in the analysis of crash causation · 2015 · Peiris, Sujanie et al.
Evaluating adverse rural crash outcomes using the NHTSA State Data System ↗ · 2015 · Peura, Christine et al.
Connecticut Department of Transportation safety techniques enhancement plan. · 2015 · Scopatz, Robert A. et al.
Critical Reasons for Crashes Investigated in the National Motor Vehicle Crash Causation Survey ↗ · 2015 · Singh, Santokh
Estimating under-reporting of road crash injuries to police using multiple linked data collections ↗ · 2015 · Watson, Angela et al.
Identifying High-Risk Roadways for Infrastructure Investment Using Naturalistic Driving Data · 2015 · Wolshon, Brian et al.
Prevalence of Motor Vehicle Crashes Involving Drowsy Drivers, United States, 2009-2013 · 2014 · AAA Foundation for Traffic Safety
RETRACTED: Road Traffic Deaths and Injuries Are Under-Reported in Ethiopia: A Capture-Recapture Method · 2014 · Abegaz, Teferi et al.
Analyzing Crash-Prone Drivers in Multiple Crashes for Better Safety Educational and Enforcement Strategies · 2014 · Das, Subasish
Statewide heavy-truck crash assessment : [tech transfer summary]. · 2014 · Hans, Zachary et al.
S-HAL : safety handbook for locals. · 2014 · NHTSA
The Carrier Safety Measurement System (CSMS) Effectiveness Test by Behavior Analysis and Safety Improvement Categories (BASICs) · 2014 · NHTSA
Application of Geographically Weighted Regression Technique in Spatial Analysis of Fatal and Injury Crashes · 2014 · Pirdavani, Ali et al.
An Examination of Crash and NASS Data to Evaluate the Field Relevance of IIHS Small Offset Tests ↗ · 2014 · Prasad, P. et al.
Federal Highway Administration Focus Area Data Definitions · 2014 · Satterfield, Cathy et al.
Applying quantile regression for modeling equivalent property damage only crashes to identify accident blackspots · 2014 · Washington, Simon et al.
Effectiveness of various safety improvements in reducing crashes on Wyoming roadways. · 2013 · Coulter, Zebulun et al.
Onboard Safety Systems Effectiveness Evaluation Final Report · 2013 · Hickman, Jeffrey S. et al.
Traffic Safety Basic Facts 2012 : Heavy Goods Vehicles and Buses ↗ · 2013 · Pace, Jean-François et al.
Urban Crash Features Analysis Based on In-Depth Investigation ↗ · 2013 · Li, Weinan et al.
Surveillance of Road Crash Injuries in Cambodia: An Evaluation of the Cambodia Road Crash and Victim Information System (RCVIS) · 2013 · Parker, Erin et al.
Feasibility of road traffic injury surveillance integrating police and health insurance data sets in the Dominican Republic. ↗ · 2013 · Puello, Adrián et al.
Comprehensive safety document/product. · 2013 · Srinivasan, Raghavan et al.
Motor Vehicle Crashes, Injuries, and Deaths in Relation to Driver Age: United States, 1995 – 2010 · 2012 · AAA Foundation for Traffic Safety
Analysing the Severity and Frequency of Traffic Crashes in Riyadh City Using Statistical Models ↗ · 2012 · Altwaijri, Saleh et al.
Modeling crash frequency and severity using multinomial-generalized Poisson model with error components ↗ · 2012 · Chiou, Yu‐Chiun et al.
Bias caused by self-reporting distraction and its impact on crash estimates ↗ · 2012 · Hanley, Paul F. et al.
Comparison of highway crash reporting in Pakistan with the World Health Organisation injury surveillance guideline ↗ · 2012 · Khoso, AK et al.