Roadway Departure

Roadway Departure

Author: Kansas. Department of Transportation

Publisher:

Published: 2011

Total Pages: 20

ISBN-13:

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"According to the Federal Highway Administration, a roadway departure crash is a "non-intersection event that occurs after a vehicle crosses an edge line or center line, or otherwise leaves the traveled way." These departures can be voluntary (during passing maneuvers, for example) or involuntary (due to inattention). Multiple-vehicle crashes may be either head-on or sideswipes involving vehicles moving in the same or opposite directions. Single vehicles may collide with a fixed object or flip. Such crashes typically occur away from intersections, on shoulders, roadsides, or medians. One approach to reducing these crashes is prevention - keeping vehicles on the road and in their lanes. The other approach is devising a forgiving roadway - an engineering solution to reduce the severity of those incidents that do occur. We propose using both approaches."


Statistical and Econometric Methods for Transportation Data Analysis

Statistical and Econometric Methods for Transportation Data Analysis

Author: Simon Washington

Publisher: CRC Press

Published: 2020-01-30

Total Pages: 496

ISBN-13: 0429520751

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The book's website (with databases and other support materials) can be accessed here. Praise for the Second Edition: The second edition introduces an especially broad set of statistical methods ... As a lecturer in both transportation and marketing research, I find this book an excellent textbook for advanced undergraduate, Master’s and Ph.D. students, covering topics from simple descriptive statistics to complex Bayesian models. ... It is one of the few books that cover an extensive set of statistical methods needed for data analysis in transportation. The book offers a wealth of examples from the transportation field. —The American Statistician Statistical and Econometric Methods for Transportation Data Analysis, Third Edition offers an expansion over the first and second editions in response to the recent methodological advancements in the fields of econometrics and statistics and to provide an increasing range of examples and corresponding data sets. It describes and illustrates some of the statistical and econometric tools commonly used in transportation data analysis. It provides a wide breadth of examples and case studies, covering applications in various aspects of transportation planning, engineering, safety, and economics. Ample analytical rigor is provided in each chapter so that fundamental concepts and principles are clear and numerous references are provided for those seeking additional technical details and applications. New to the Third Edition Updated references and improved examples throughout. New sections on random parameters linear regression and ordered probability models including the hierarchical ordered probit model. A new section on random parameters models with heterogeneity in the means and variances of parameter estimates. Multiple new sections on correlated random parameters and correlated grouped random parameters in probit, logit and hazard-based models. A new section discussing the practical aspects of random parameters model estimation. A new chapter on Latent Class Models. A new chapter on Bivariate and Multivariate Dependent Variable Models. Statistical and Econometric Methods for Transportation Data Analysis, Third Edition can serve as a textbook for advanced undergraduate, Masters, and Ph.D. students in transportation-related disciplines including engineering, economics, urban and regional planning, and sociology. The book also serves as a technical reference for researchers and practitioners wishing to examine and understand a broad range of statistical and econometric tools required to study transportation problems.


Examining Driver Risk Factors in Road Departure Conflicts Using SHRP2 Data

Examining Driver Risk Factors in Road Departure Conflicts Using SHRP2 Data

Author: Danah Ahmed Alshatti

Publisher:

Published: 2018

Total Pages: 57

ISBN-13:

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When a vehicle leaves the roadway, the likelihood of a roadway departure (RwD) crash can be deadly. Roadway departure conflicts usually involve a single vehicle, which occurs after a vehicle crosses an edge line, a centerline, or otherwise leaves the designated traveled way and collide with another vehicle or with a fixed object or overturns, etc. This study investigates the nature of the interrelations between roadway, vehicle, and driver (characteristics and behavior) risk factors in roadway departure conflicts. The purpose of this thesis study was to examine which factors increase the risk of roadway departure conflict and increase the likelihood becoming a roadway departure crash, using the Second Strategic Highway Research program (SHRP2) data. SHRP2 include Naturalistic Driving Study (NDS) and Roadway Information Database (RID), which were collected from six different states in 2010-2012. Stepwise logistic and generalized linear regression models were estimated to provide insights as to those factors that have association with roadway departure conflicts and more importantly to those that are more likely to lead the conflict into crashes.The results revealed that drivers pre-incident maneuvers, judgment maneuvers, secondary tasks (distracted drivers), road alignment (curves) were significant factors. Driver education, average mileage driven per years were also significant factors. However, driver gender and age were non-significant risk factor of roadway departure conflicts in the current study.


Roadside Design Guide

Roadside Design Guide

Author: American Association of State Highway and Transportation Officials. Task Force for Roadside Safety

Publisher:

Published: 1989

Total Pages: 560

ISBN-13:

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Passenger Vehicle Crashes Into Stationary Large Trucks

Passenger Vehicle Crashes Into Stationary Large Trucks

Author: Gary L. Roberts

Publisher:

Published: 2003

Total Pages: 72

ISBN-13:

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House Joint Resolution No. 23, 2002 Session of Virginia's General Assembly, requested that the Virginia Transportation Research Council and the Crash Investigation Team of Virginia Commonwealth University's Transportation Safety Training Center conduct a study of highway crashes involving trucks and other large vehicles stopped on the roadway or shoulder and struck in the rear. The purpose of the study was to determine the spatial and perceptual factors, physiological elements, and ingredients that combine to cause or materially contribute to these crashes; how and why these crashes occur; and practical countermeasures to reduce the number and severity of these crashes. To answer the question of how and why these crashes occur, Virginia crash data from 1997 through 2001 were analyzed. In only a few crashes was a large truck stopped on the roadway or shoulder struck in the rear by a passenger vehicle. Rear-end crashes in which the leading vehicle was stopped were more numerous, but single-vehicle roadway departure crashes into parked vehicles were more severe. Environmental, roadway, and surface conditions had little influence. The major contributing factor was driver inattention. With regard to the psychological and perceptual factors contributing to these crashes, it is likely that large trucks are more conspicuous than other stopped vehicles because of their size, unique profile, and requirements for reflectorized tape. However, large trucks stopped or parked continue to be struck in the rear by passenger vehicles. The cause here is also driver inattention in several forms, none of which can be directly attributed to any particular crash without a detailed crash investigation. As to possible countermeasures, two approaches stand out: increasing driver attention and removing large trucks from the shoulder. Existing methods for increasing driver attention include using infrastructure warning systems and continuous shoulder rumble strips. Future improvements to driver attention are linked to technically advanced collision warning systems that will enter the marketplace before 2012 and provide an automatic warning to drivers of possible collisions. Removing large trucks from the shoulder is more of a problem and is tied to the larger issue of the supply and demand for public and private commercial vehicle parking. Short-term improvements include amending and strictly enforcing existing parking regulations, developing a pilot program to alert truck drivers of available parking facilities, and investigating the use of Virginia's weigh stations for large truck parking. The long-term approach includes conducting studies designed to document the extent of large truck parking on the ramps and shoulders of Virginia's limited access highways, assessing the adequacy of large-truck parking statewide, and prioritizing locations with the greatest need for public and private development of large-truck parking facilities.