Highway Safety Analytics And Modeling

Author : Dominique Lord,Xiao Qin,Srinivas R. Geedipally
Publisher : Elsevier
Page : 504 pages
File Size : 45,7 Mb
Release : 2021-02-27
Category : Law
ISBN : 9780128168196

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Highway Safety Analytics and Modeling by Dominique Lord,Xiao Qin,Srinivas R. Geedipally Pdf

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

Author : Dominique Lord,Xiao Qin,Srinivas R. Geedipally
Publisher : Elsevier
Page : 502 pages
File Size : 51,6 Mb
Release : 2021-03-11
Category : Law
ISBN : 9780128168189

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Highway Safety Analytics and Modeling by Dominique Lord,Xiao Qin,Srinivas R. Geedipally Pdf

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

Author : Anonim
Publisher : Unknown
Page : 32 pages
File Size : 43,9 Mb
Release : 1998
Category : Electronic
ISBN : OCLC:807655924

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Highway Safety Modeling, Analysis, and Design by Anonim Pdf

Author : Bhagwant Naraine Persaud,Michael S. Griffith
Publisher : Unknown
Page : 88 pages
File Size : 45,8 Mb
Release : 2001
Category : Highway engineering
ISBN : NWU:35556033421165

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Statistical Methods in Highway Safety Analysis by Bhagwant Naraine Persaud,Michael S. Griffith Pdf

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 : Subasish Das
Publisher : CRC Press
Page : 354 pages
File Size : 41,7 Mb
Release : 2022-09-29
Category : Computers
ISBN : 9781000726268

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Artificial Intelligence in Highway Safety by Subasish Das Pdf

Artificial Intelligence in Highway Safety provides cutting-edge advances in highway safety using AI. The author is a highway safety expert. He pursues highway safety within its contexts, while drawing attention to the predictive powers of AI techniques in solving complex problems for safety improvement. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples. It is suitable for anyone interested in highway safety and AI and it provides an illuminating and accessible introduction to this fast-growing research trend. Material supplementing the book can be found at https://github.com/subasish/AI_in_HighwaySafety. It offers a variety of supplemental materials, including data sets and R codes.

Author : Anonim
Publisher : Unknown
Page : 116 pages
File Size : 41,5 Mb
Release : 2001
Category : Traffic accidents
ISBN : UCLA:L0098571623

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Highway Safety by Anonim Pdf

Author : Sophie E. Paterson,Lucy K. Allan
Publisher : Unknown
Page : 588 pages
File Size : 55,9 Mb
Release : 2009
Category : Automobile driving
ISBN : NWU:35556038303731

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Road Traffic by Sophie E. Paterson,Lucy K. Allan Pdf

Road traffic represents a significant burden in the developing world and will continue to become more prominent without an effective response to the myriad problems it presents. This book provides a discussion on effective measures in safety, modelling and the impacts of road traffic on society.

Author : David A. Woldseth
Publisher : Unknown
Page : 32 pages
File Size : 42,6 Mb
Release : 1998
Category : Highway planning
ISBN : WISC:89096569454

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State Trunk Highway Safety and Geometrics, Technical Report by David A. Woldseth Pdf

Author : Anonim
Publisher : Unknown
Page : 80 pages
File Size : 55,7 Mb
Release : 1969
Category : Electronic
ISBN : OSU:32435060229341

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Highway Safety Literature by Anonim Pdf

Author : Anthony N. Mucciardi
Publisher : Unknown
Page : 114 pages
File Size : 47,8 Mb
Release : 1977
Category : Traffic safety
ISBN : UOM:39015075213564

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Highway Safety Programs Effectiveness Model. Final Technical Report by Anthony N. Mucciardi Pdf

Author : Anonim
Publisher : Unknown
Page : 101 pages
File Size : 49,5 Mb
Release : 2001
Category : Electronic
ISBN : OCLC:61474694

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Highway Safety by Anonim Pdf

Transportation Research Record contains the following papers: Incorporating crash risk in selecting congestion-mitigation strategies : Hampton Roads area (Virginia) case study (Garber, NJ and Subramanyan, S); Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections (Abdelwahab, HT and Abdel-Aty, MA); Transferability of models that estimate crashes as a function of access management (Miller, JS, Hoel, LA, Kim, S and Drummond, KP); Sensor-friendly vehicle and roadway cooperative safety systems : benefits estimation (Misener, JA, Thorpe, C, Ferlis, R, Hearne, R, Siegal, M and Perkowski, J); Interstate highway crash injuries during winter snow and nonsnow events (Khattak, AJ and Knapp, KK); Simulation of road crashes by use of systems dynamics (Mehmood, A, Saccamanno, F and Hellinga, B); Longitudinal analysis of fatal run-off-road crashes, 1975 to 1997 (McGinnis, RG, Davis, MJ and Hathaway, EA); Injury severity in multivehicle rear-end crashes (Khattack, AJ); Computing and interpreting accident rates for vehicle types driver groups (Hauer, E); Geographics information system-based accident data management for Mexican federal roads (Mendoza, A, Mayoral, EF, Vicente, JL and Quintero, FL); Bayesian identification of high-risk intersections for older drivers via gibbs sampling (Davis, GA and Yang, S); Automated accident detection system (Harlow, C and Wang, Y); Evaluation of inexpensive global positioning system units to improve crash location data (Graettinger, AJ, Rushing, TW and McFadden, J).

Author : National Research Council (U.S.). Transportation Research Board
Publisher : Unknown
Page : 254 pages
File Size : 41,5 Mb
Release : 2005
Category : Motor vehicle occupants
ISBN : UCLA:L0098571508

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Statistical Methods by National Research Council (U.S.). Transportation Research Board Pdf

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 : Robert Stevens
Publisher : CRC Press
Page : 82 pages
File Size : 44,8 Mb
Release : 2023-10-03
Category : Computers
ISBN : 9781003806271

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Predictive Safety Analytics by Robert Stevens Pdf

Nearly all our safety data collection and reporting systems are backwardlooking: incident reports; dashboards; compliance monitoring systems; and so on. This book shows how we can use safety data in a forward-looking, predictive sense. Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning contains real use cases where organizations have reduced incidents by employing predictive analytics to foresee and mitigate future risks. It discusses how Predictive Safety Analytics is an opportunity to break through the plateau problem where safety rate improvements have stagnated in many organizations. The book presents how the use of data, coupled with advanced analytical techniques, including machine learning, has become a proven and successful innovation. Emphasis is placed on how the book can “meet you where you are” by illuminating a path to get there, starting with simple data the organization likely already has. Highlights of the book are the real examples and case studies that will assist in generating thoughts and ideas for what might work for individual readers and how they can adapt the information to their particular situations. This book is written for professionals and researchers in system reliability, risk and safety assessment, quality control, operational managers in selected industries, data scientists, and ML engineers. Students taking courses in these areas will also find this book of interest to them.

Author : Simon Washington,National Cooperative Highway Research Program
Publisher : Transportation Research Board
Page : 179 pages
File Size : 40,7 Mb
Release : 2006
Category : Highway planning
ISBN : 9780309088466

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Incorporating Safety Into Long-range Transportation Planning by Simon Washington,National Cooperative Highway Research Program Pdf

"TRB's National Cooperative Highway Research Program (NCHRP) Report 546 examines where and how safety can be effectively addressed and integrated into long-range transportation planning at the state and metropolitan levels. The report includes guidance for practitioners in identifying and evaluating alternative ways to incorporate and integrate safety considerations in long-range statewide and metropolitan transportation planning and decision-making processes"--Publisher's description.

Author : National Research Council (U.S.). Transportation Research Board
Publisher : Unknown
Page : 148 pages
File Size : 48,6 Mb
Release : 2000
Category : Traffic accidents
ISBN : UVA:X004504677

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Highway and Traffic Safety by National Research Council (U.S.). Transportation Research Board Pdf

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).