Highway Safety Data, Analysis, and Evaluation, 2012


Book Description

"This issue contains 20 papers concerned with the following aspects of highway safety data, analysis, and evaluation: relationship of traffic density, speed, and safety for setting variable speed limits; relationship of freeway flow parameters and safety for hard shoulder running; computer vision-based safety evaluations; safety intervention models; safety effectiveness of Super 2 highways; interaction of crash occurrence, mountainous freeway geometry, weather, and traffic data; real-time safety evaluation with automatic vehicle identification data; research on safety effects of actions; link between crash severity and crash avoidance maneuvers; roles of vehicle footprint, height, and weight in crash outcomes; safety assessment of road network structures; effect of collision aggregation on safety evaluations; integrating observational and traffic simulation models; crash frequency in work zones with focus on police enforcement; discretization of road networks for safety evaluation; application of different exposure measures in crash prediction models; long-term safety trends as a function of vehicle ownership; transferability of safety performance functions; land use entropy and accidents; and advisory speeds."--pub. desc.







Statistical Methods


Book Description

This Transportation Research Record contains 28 papers dealing with statistical methods in highway safety research; highway safety data, analysis, and evaluation; occupant protection; and systematic reviews and meta-analysis. The papers address such topics as risk and crash prediction models, crashes on freeways and at signalized intersections, multivehicle crash prediction, speed and safety, red light running crashes, freeway lane closures, ramp design, accident exposure, rumble strip benefits, collisions with median trees, intersection safety, accident reconstruction, safety effects of speed limit changes, geometric design and head-on crashes, deer-vehicle crashes, sport utility vehicle rollover, vehicle occupancy and crash risk, a logit model for studying injury severity, abdominal injuries in rail passengers, healthy transport policies, and meta-analysis.













Highway Safety Analytics and Modeling


Book Description

Highway Safety Analytics and Modeling comprehensively covers the key elements needed to make effective transportation engineering and policy decisions based on highway safety data analysis in a single. reference. The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results. It discusses the challenges of working with crash and naturalistic data, identifies problems and proposes well-researched methods to solve them. Finally, the book examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes. Complements the Highway Safety Manual by the American Association of State Highway and Transportation Officials Provides examples and case studies for most models and methods Includes learning aids such as online data, examples and solutions to problems




Accident Data Quality


Book Description

This synthesis will be of interest to highway department administrators, accident records personnel, information systems and data processing management personnel, highway traffic and safety engineers, drivers' licensing officials, state and local police, as well as federal agencies, industries, traffic safety associations, and others responsible for the collection, analysis, and use of accident data. Information is provided on national accident data banks in addition to state and local practice associated with accident data collection, analysis, and evaluation. This synthesis describes current practice with respect to the characteristics and importance of accident data quality, including the reporting and data collection procedures, the analysis and quality control measures employed, and the communications systems used. This report of the Transportation Research Board discusses accident records systems, including data sources and users, considers the effects of inadequate data on analyses, and reviews data acquisition and processing programs that have had good results in the states using them. Recommendations for improving operating systems and for additional research are included.




Highway Safety


Book Description




Highway and Traffic Safety


Book Description

Transportation Research Record contains the following papers: Method for identifying factors contributing to driver-injury severity in traffic crashes (Chen, WH and Jovanis, PP); Crash- and injury-outcome multipliers (Kim, K); Guidelines for identification of hazardous highway curves (Persaud, B, Retting, RA and Lyon, C); Tools to identify safety issues for a corridor safety-improvement program (Breyer, JP); Prediction of risk of wet-pavement accidents : fuzzy logic model (Xiao, J, Kulakowski, BT and El-Gindy, M); Analysis of accident-reduction factors on California state highways (Hanley, KE, Gibby, AR and Ferrara, T); Injury effects of rollovers and events sequence in single-vehicle crashes (Krull, KA, Khattack, AJ and Council, FM); Analytical modeling of driver-guidance schemes with flow variability considerations (Kaysi, I and Ail, NH); Evaluating the effectiveness of Norway's speak out! road safety campaign : The logic of causal inference in road safety evaluation studies (Elvik, R); Effect of speed, flow, and geometric characteristics on crash frequency for two-lane highways (Garber, NJ and Ehrhart, AA); Development of a relational accident database management system for Mexican federal roads (Mendoza, A, Uribe, A, Gil, GZ and Mayoral, E); Estimating traffic accident rates while accounting for traffic-volume estimation error : a Gibbs sampling approach (Davis, GA); Accident prediction models with and without trend : application of the generalized estimating equations procedure (Lord, D and Persaud, BN); Examination of methods that adjust observed traffic volumes on a network (Kikuchi, S, Miljkovic, D and van Zuylen, HJ); Day-to-day travel-time trends and travel-time prediction form loop-detector data (Kwon, JK, Coifman, B and Bickel, P); Heuristic vehicle classification using inductive signatures on freeways (Sun, C and Ritchie, SG).