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Author: David Banks Publisher: ISBN: Category : Highway research Languages : en Pages : 35
Book Description
The Federal Highway Administration Development of Crash Modification Factors (DCMF) Program was established in 2012 to address highway safety research needs for evaluating new and innovative safety strategies (improvements) by developing reliable quantitative estimates of their effectiveness in reducing crashes. A goal of the DCMF is to advance highway safety and related research by establishing a sound foundation for the development of highway transportation specific statistical methodologies in cooperation with the American Statistical Association and other statistician communities. In pursuit of that goal, a two-day Technical Experts meeting brought together researchers from the road safety, statistics, and other statistics-related fields such as epidemiology, biostatistics, and agent based modeling that have methodologies relevant to highway safety research applications. The meeting resulted in guidance and materials that supported the development of this white paper, which identifies and discusses opportunities for advancing methodologies to estimate crash modification factors and safety performance functions. The paper outlines considerations and future steps to encourage researchers to explore these techniques in their research.
Author: David Banks Publisher: ISBN: Category : Highway research Languages : en Pages : 35
Book Description
The Federal Highway Administration Development of Crash Modification Factors (DCMF) Program was established in 2012 to address highway safety research needs for evaluating new and innovative safety strategies (improvements) by developing reliable quantitative estimates of their effectiveness in reducing crashes. A goal of the DCMF is to advance highway safety and related research by establishing a sound foundation for the development of highway transportation specific statistical methodologies in cooperation with the American Statistical Association and other statistician communities. In pursuit of that goal, a two-day Technical Experts meeting brought together researchers from the road safety, statistics, and other statistics-related fields such as epidemiology, biostatistics, and agent based modeling that have methodologies relevant to highway safety research applications. The meeting resulted in guidance and materials that supported the development of this white paper, which identifies and discusses opportunities for advancing methodologies to estimate crash modification factors and safety performance functions. The paper outlines considerations and future steps to encourage researchers to explore these techniques in their research.
Author: Bhagwant Naraine Persaud Publisher: ISBN: Category : Transportation Languages : en Pages : 88
Book Description
TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 295: Statistical Methods in Highway Safety Analysis focus on the type of safety analysis required to support traditional engineering functions, such as the identification of hazardous locations and the development and evaluation of countermeasures. Analyses related specifically to driver and vehicle safety are not covered, but some statistical methods used in these areas are of relevance and are summarized where appropriate.
Author: National Research Council (U.S.). Transportation Research Board Publisher: ISBN: Category : Motor vehicle occupants Languages : en Pages : 254
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.
Author: GeoDecisions Publisher: ISBN: Category : Geospatial data Languages : en Pages : 32
Book Description
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
Author: National Research Council (U.S.). Transportation Research Board Publisher: ISBN: Category : Traffic accidents Languages : en Pages : 148
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).
Author: National Research Council (U.S.). Transportation Research Board Publisher: ISBN: Category : Traffic accident investigation Languages : en Pages : 212
Book Description
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.
Author: Jennifer Harper Ogle Publisher: Transportation Research Board ISBN: 0309097851 Category : Automatic data collection systems Languages : en Pages : 111
Book Description
"Technologies for Improving Safety Data explores new technologies for the acquisition, processing, and overall management of crash, roadway inventory, and traffic operations data. The report examines the current state-of-the-practice and state-of-the-art use of technologies for efficient and effective collection and maintenance of data for highway safety analysis." -- publisher's website.
Author: David Banks
Author: David Banks
Author: Bhagwant Naraine Persaud
Author: National Research Council (U.S.). Transportation Research Board
Author: 
Author: National Research Council (U.S.). Transportation Research Board
Author: 
Author: GeoDecisions
Author: National Research Council (U.S.). Transportation Research Board
Author: National Research Council (U.S.). Transportation Research Board
Author: Jennifer Harper Ogle