A Pilot Data System and Analytical Framework for Tribal and Rural Community Traffic Safety Equity Assessments
A Pilot Data System and Analytical Framework for Tribal and Rural Community Traffic Safety Equity Assessments

Author: Christopher Gottsacker

Publisher:

Published: 2019

Total Pages: 61

ISBN-13:

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There is a systemic inequity in terms of traffic safety between rural and urban areas throughout the nation. Rural, isolated, tribal, and indigenous communities (RITI) communities often need more funding to address transportation safety concerns. However, recent focus on technological improvements in urban areas risks widening this divide, leaving RITI communities further behind. This study aims at investigating solutions to address the problem. In particular, a framework is proposed to address the issue of traffic safety equity. Research efforts are made to follow this framework from outreach to data analysis and visualization. The outreach activities have resulted in data sharing agreements with one tribe in Washington State and paved the road for signing to agreement with another tribe. Descriptive analyses are conducted to gain basic understanding of the data, and crash frequency prediction models are also used to find significant contributing factors in crash occurrence. The results of this model are used to create an index of Crash Reduction Potential, and an online crash mapping application is developed to visualize the index.

Guide for Effective Tribal Crash Reporting
Guide for Effective Tribal Crash Reporting

Author: David Alan Noyce

Publisher:

Published: 2014

Total Pages: 84

ISBN-13:

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Part 1. Overview and self assessment. chapter 1. Self-assessment for state agencies -- chapter 2. Self-assessment for tribes -- part 2. Guide for effective tribal crash reporting. chapter 1. Establishing and maintaining communication and relationship between tribes and states -- chapter 2. Tribal crash data collection system -- chapter 3. State-tribal crash data sharing -- chapter 4. Improving tribal traffic safety using crash data -- part 3. Reference and source materials. References -- Abbreviations, acronyms, initialisms, and symbols -- appendix A. memorandum of understanding example -- appendix B. Case study flyers -- appendix C. Promotional flyer -- appendix D. Useful references.

Traffic Records Program Assessment Advisory
Traffic Records Program Assessment Advisory

Author: United States. National Highway Traffic Safety Administration

Publisher: Createspace Independent Pub

Published: 2013-10-25

Total Pages: 132

ISBN-13: 9781493536726

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This updated edition of Traffic Records Program Assessment Advisory gives States information on the contents, capabilities, and data quality of an effective traffic records system by describing an ideal system that supports high-quality decisions and leads to cost-effective improvements in highway and traffic safety. In addition, the updated Advisory outlines a comprehensive approach for assessing the systems and processes that govern the collection, management, and analysis of traffic records data. The Advisory now provides a uniform set of questions derived from the ideal system as described above. The questions are used by a group of qualified independent assessors to determine how close a State's capabilities come to the described ideal. There are three gradations: (a) meets the description of the ideal traffic records system, (b) partially meets the ideal description, and (c) does not meet the ideal description. The Advisory also provides State respondents with standards of evidence that identify the specific information necessary to answer each assessment question. This assessment instrument highlights a State traffic records system's strengths as well as opportunities for improvement.

Design Manual for State Traffic Records Systems: Standard data elements and coding: section 1. Driver data subsystem.-section 2.-Vehicle data subsystem.-section 3. Roadway environment data subsystem.-section 4. Accident data subsystem.-section 5. Emergency services data subsystem.-section 6. Traffic law enforcement and adjudication data subsystem.-section 7. Educational services data subsystem.-section 8. Safety program management data subsystem
Design Manual for State Traffic Records Systems: Standard data elements and coding: section 1. Driver data subsystem.-section 2.-Vehicle data subsystem.-section 3. Roadway environment data subsystem.-section 4. Accident data subsystem.-section 5. Emergency services data subsystem.-section 6. Traffic law enforcement and adjudication data subsystem.-section 7. Educational services data subsystem.-section 8. Safety program management data subsystem

Author: United States. National Highway Traffic Safety Administration

Publisher:

Published: 1973

Total Pages:

ISBN-13:

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Using Spatial Tools to Analyze Crash and Roadway Data
Using Spatial Tools to Analyze Crash and Roadway Data

Author: GeoDecisions

Publisher:

Published: 2008

Total Pages: 32

ISBN-13:

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PennDOT engaged Gannett Fleming to conduct research into best practices in the use of geospatial analysis tools for highway safety analyses. The goals of the effort were to define a methodology for PennDOT to follow in identifying the best candidate locations for highway safety improvements, and to develop a Proof of Concept to test the proposed methodology. After conducting interviews and workshops involving more than 35 of PennDOT's stakeholders in highway safety processes, Gannett Fleming interviewed highway safety managers in five other state and federal highway agencies to determine what innovative tools and practices are currently being used. Gannett Fleming's research also included a review of literature related to the study from more than 80 sources. Based on Gannett Fleming's research and analysis, PennDOT selected the "Highway Safety Data Relationships Knowledge Base" for further research. The knowledge base is an information repository based on concepts in data mining and expert systems. It uses advanced statistical analysis methods and expert business knowledge rules to discover data patterns based on correlation and other forms of relationships in the data. The knowledge base can be applied to diagnosing specific combinations of data attributes and features that may indicate the causative factors among homogeneous populations of crashes. Most highway safety data analyses involve studying correlations among multiple data sets. The knowledge base is an innovative and compreh3nsive tool for such an application. It provides a framework for identifying and managing relationships among many combinations of data sets that are useful in highway safety analyses. Gannett Fleming proceeded to develop a prototype as a proof of concept. Gannett Fleming demonstrated the prototype using actual PennDOT crash data. Three analysis scenarios were demonstrated" evaluating safety programming alternatives for alcohol involved crashes, diagnosing data patterns of crashes at a selected highway location, identifying potential sites for system-wide deployment of a selected countermeasure

Statistical Methods and Modeling and Safety Data, Analysis, and Evaluation
Statistical Methods and Modeling and Safety Data, Analysis, and Evaluation

Author: National Research Council (U.S.). Transportation Research Board

Publisher:

Published: 2003

Total Pages: 212

ISBN-13:

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Covers empirical approaches to outlier detection in intelligent transportation systems data, modeling of traffic crash-flow relationships for intersections, profiling of high-frequency accident locations by use of association rules, analysis of rollovers and injuries with sport utility vehicles, and automated accident detection at intersections via digital audio signal processing.

Safety Data, Analysis, and Evaluation
Safety Data, Analysis, and Evaluation

Author:

Publisher:

Published: 2015

Total Pages: 0

ISBN-13: 9780309369367

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"TRB?s Transportation Research Record: Journal of the Transportation Research Board, No. 2514, explores 19 papers related to safety data, analysis, and evaluation in the transportation sector, including: Exploring Driver Error at Intersections: Key Contributors and Solutions; Level of Service of Safety Revisited; Longitudinal Analysis of Rural Interstate Fatalities in Relation to Speed Limit Policies; Predicting Crashes on Expressway Ramps with Real-Time Traffic and Weather Data; Multilevel Logistic Regression Modeling for Crash Mapping in Metropolitan Areas; Simulated Traffic Conflicts: Do They Accurately Represent Field-Measured Conflicts?; Assessing Safety Improvements to Pedestrian Crossings Using Automated Conflict Analysis; Understanding Factors Affecting Frequency of Traffic Conflicts Between Electric Bicycles and Motorized Vehicles at Signalized Intersections; Comparative Analysis of Injury Severity Resulting from Pedestrian?Motor Vehicle and Bicycle?Motor Vehicle Crashes on Roadways in Alabama; Validation of Crash Modification Factors Derived from Cross-Sectional Studies with Regression Models; Fault Determination for Crashes in Vermont: Implications of Distance from Home; Crash Patterns at Signalized Intersections; Analyses of Multiyear Statewide Secondary Crash Data and Automatic Crash Report Reviewing; Assessment of Pedestrian Risk at Crossings with Kinematic?Probabilistic Model; Predicting Driver Injury Severity in Single-Vehicle and Two-Vehicle Crashes with Boosted Regression Trees; Effects of Geodemographic Profiles of Drivers on Their Injury Severity from Traffic Crashes Using Multilevel Mixed-Effects Ordered Logit Model; Copula-Based Joint Model of Injury Severity and Vehicle Damage in Two-Vehicle Crashes; Identifying Optimal High-Risk Driver Segments for Safety Messaging: Geodemographic Modeling Approach; Evaluation of Signalized-Intersection Crash Screening Methods Based on Distance from Intersection."--Publisher's description.