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Author: Christopher Edwards
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 0
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Book Description
Run-off-road (ROR) crashes are a concern for two-lane rural and urban roadways throughout Minnesota due to the frequency by which they contribute to fatal crashes (Minnesota Crash Facts, 2013). Mitigating the severity of the ROR events is an on-going research goal in order to help reduce the number of ROR crashes. Examining countermeasures that may reduce ROR crashes is important to determine the most efficient and effective method of warning. Behavioral responses were examined through the use of an in-vehicle haptic-based lane departure warning system (LDWS) using a driving simulator. The study incorporated systematic variation to both the reliability of the warning and sequence of treatment conditions. An additional analysis examined the presence of behavioral adaptation after repeated exposure to the system. Severity of a ROR event was measured as the total time out of lane (TTL) and maximum lane deviation (MLD). Covariates (e.g. road shape) were examined to determine the influence they may have on the severity of a ROR. The results reveal overall LDWS efficacy. TTL was significantly longer when no system was active compared to when it was active. LDWS led to shorter duration of ROR events. Greater velocity was found to be highly predictive of longer TTL. MLD was also greater for baseline drives compared to treatment drives. No behavioral adaptation or system overreliance was detected, suggesting long term benefits of the LDWS. Drivers who actively engaged in a distraction task were at far greater risk of traveling greater and more dangerous distances out of lane.
Author: Christopher Edwards
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 0
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Book Description
Run-off-road (ROR) crashes are a concern for two-lane rural and urban roadways throughout Minnesota due to the frequency by which they contribute to fatal crashes (Minnesota Crash Facts, 2013). Mitigating the severity of the ROR events is an on-going research goal in order to help reduce the number of ROR crashes. Examining countermeasures that may reduce ROR crashes is important to determine the most efficient and effective method of warning. Behavioral responses were examined through the use of an in-vehicle haptic-based lane departure warning system (LDWS) using a driving simulator. The study incorporated systematic variation to both the reliability of the warning and sequence of treatment conditions. An additional analysis examined the presence of behavioral adaptation after repeated exposure to the system. Severity of a ROR event was measured as the total time out of lane (TTL) and maximum lane deviation (MLD). Covariates (e.g. road shape) were examined to determine the influence they may have on the severity of a ROR. The results reveal overall LDWS efficacy. TTL was significantly longer when no system was active compared to when it was active. LDWS led to shorter duration of ROR events. Greater velocity was found to be highly predictive of longer TTL. MLD was also greater for baseline drives compared to treatment drives. No behavioral adaptation or system overreliance was detected, suggesting long term benefits of the LDWS. Drivers who actively engaged in a distraction task were at far greater risk of traveling greater and more dangerous distances out of lane.
Author:
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 58
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Book Description
Run-off-road (ROR) crashes are a concern for two-lane rural and urban roadways throughout Minnesota due to the frequency by which they contribute to fatal crashes (Minnesota Crash Facts, 2013). Mitigating the severity of the ROR events is an on-going research goal in order to help reduce the number of ROR crashes. Examining countermeasures that may reduce ROR crashes is important to determine the most efficient and effective method of warning. Behavioral responses were examined through the use of an in-vehicle haptic-based lane departure warning system (LDWS) using a driving simulator. The study incorporated systematic variation to both the reliability of the warning and sequence of treatment conditions. An additional analysis examined the presence of behavioral adaptation after repeated exposure to the system. Severity of a ROR event was measured as the total time out of lane (TTL) and maximum lane deviation (MLD). Covariates (e.g. road shape) were examined to determine the influence they may have on the severity of a ROR. The results reveal overall LDWS efficacy. TTL was significantly longer when no system was active compared to when it was active. LDWS led to shorter duration of ROR events. Greater velocity was found to be highly predictive of longer TTL. MLD was also greater for baseline drives compared to treatment drives. No behavioral adaptation or system overreliance was detected, suggesting long term benefits of the LDWS. Drivers who actively engaged in a distraction task were at far greater risk of traveling greater and more dangerous distances out of lane.
Author: Safety and Human Factors Standards Steering Committee
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
The Road/Lane Departure Warning System is a crash-avoidance technology which warns drivers if they are drifting (or have drifted) out of their lane or from the road. This warning system is designed to help prevent the possibility of a run-off-road crash. This system will not take control of the vehicle; it will only let the driver know that he/she needs to steer back into the lane. This warning system is not designed as a lane-change monitor, which addresses intentional lane changes, or a merging system which warns of other vehicles.This informational report applies to OEM and after-market Road/Lane Departure warning systems for light-duty vehicles on relatively straight roads with a radius of curvature of 500 m or more, and under good weather conditions. Future revisions should consider the implications of newer variations on the user experience. Detailed human interface recommendations do not currently exist for road or lane departure warning systems. Knowledge of driver behavior regarding in-vehicle warning systems has not yet been compiled into a document specifically for road or lane departure warnings. The information given in this report will assist designers in the creation of the human interface for road/lane departure warning systems.
Author: Lillian Bryant
Publisher:
ISBN: 9781634839730
Category : TECHNOLOGY & ENGINEERING
Languages : en
Pages : 276
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Book Description
A comprehensive review and analysis of the human factors research associated with the implementation of crash warning system interfaces has led to the development of guidelines intended to be used by anyone responsible for the conceptualization, development, design, testing, or evaluation of in-vehicle crash avoidance systems, especially for forward collision (headway warning), lane change (blind-spot warning), and road departure warnings. This book is intended to highlight issues to be addressed and provide guidance in the development of Collision Warning Systems (CWSs). Information is presented on a variety of topics relevant to the driver-vehicle interface (DVI) of CWS devices.
Author: Steven Lee Johnson
Publisher:
ISBN:
Category : Trucks
Languages : en
Pages : 36
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Book Description
This study investigated the human factors issues related to the implementation of lane departure warning systems (LDWS) to reduce side collision and run-off-road crashes for heavy trucks. Lane departures can be either intentional (e.g., to pass another vehicle or avoid an object in the roadway) or unintentional (due to drowsiness, inattention or distraction). The report discusses the recent research and applications literature that evaluates the problem of lane departure accidents and the potential for LDWS to reduce the frequency and/or severity of those accidents. The report also discusses the issues related to the use of LDWS data that are recorded to improve the fleet and individual driver safety performance. The value of systems that range from simply warning the driver, with no even recorded, to the transmission of an event with the possibility of real-time intervention if driver performance is perceived to be degraded (e.g., due to fatigue or drowsiness). The study addresses the resources necessary to effectively integrate the information from these systems into the driver management system toward the goal of facilitating safe driving behaviors and reducing costly accidents. Truck accident data were analyzed to further evaluate the potential for safety benefits from LDWS. The Large Truck Crash Causation Study (LTCCS) data were analyzed with respect to the types of crashes that could be affected by LDWS (e.g., departed roadway, inattention, etc.). The analysis focused on rural highways and interstates with posted speed limits of above 50 mph. In addition, safety data for eight large commercial trucking fleets were analyzed to determine the relative frequency of accidents for which LDWS would reduce the occurrence or severity of lane or roadway departure accidents. The results indicated that, although the frequency of lane departure and run-off-road accidents was found to be relatively low, the consequences of these crashes can be very high. In addition, the relative frequency of lane departure accidents varied greatly from fleet to fleet. This indicates that the decision to implement LDWS or what type of LDWS to implement must depend upon a fleet's own experience, rather than aggregate data.
Author: Donald L. Fisher
Publisher: CRC Press
ISBN: 1351979809
Category : Computers
Languages : en
Pages : 548
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Book Description
Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles Subject Guide: Ergonomics & Human Factors Automobile crashes are the seventh leading cause of death worldwide, resulting in over 1.25 million deaths yearly. Automated, connected, and intelligent vehicles have the potential to reduce crashes significantly, while also reducing congestion, carbon emissions, and increasing accessibility. However, the transition could take decades. This new handbook serves a diverse community of stakeholders, including human factors researchers, transportation engineers, regulatory agencies, automobile manufacturers, fleet operators, driving instructors, vulnerable road users, and special populations. It provides information about the human driver, other road users, and human–automation interaction in a single, integrated compendium in order to ensure that automated, connected, and intelligent vehicles reach their full potential. Features Addresses four major transportation challenges—crashes, congestion, carbon emissions, and accessibility—from a human factors perspective Discusses the role of the human operator relevant to the design, regulation, and evaluation of automated, connected, and intelligent vehicles Offers a broad treatment of the critical issues and technological advances for the designing of transportation systems with the driver in mind Presents an understanding of the human factors issues that are central to the public acceptance of these automated, connected, and intelligent vehicles Leverages lessons from other domains in understanding human interactions with automation Sets the stage for future research by defining the space of unexplored questions
Author: Advanced Driver Assistance Systems (ADAS) Committee
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
The Lane Departure Warning (LDW) system is a crash-avoidance technology which warns drivers if they are drifting (or have drifted) out of their lane or from the roadway. This warning system is designed to reduce the possibility of a run-off-road crash. This system will not take control of the vehicle; it will only let the driver know that he/she needs to steer back into the lane. An LDW is not a lane-change monitor, which addresses intentional lane changes, or a blind spot monitoring system which warns of other vehicles in adjacent lanes.This informational report applies to OEM and after-market Lane Departure Warning systems for light-duty vehicles (gross vehicle weight rating of no more than 8500 pounds) on relatively straight roads with a radius of curvature of 500 m or more, and under good weather conditions. When a vehicle unintentionally leaves the vehicle lane, the crash risk to the occupants of that vehicle and other road users increases. That risk can be reduced by informing the driver of an impending or existing lane departure. That topic is addressed by to ISO 17361:2007 - Intelligent transport systems - Lane departure warning systems - Performance requirements and test procedures (2007). However, that ISO document lacks adequate detail on the research that is applicable to the design of that interface, information needed to promote the design of safe, easy to use, and consistent human interfaces for lane departure warning systems. That research is summarized in this information report.
Author: Richard W. Huey
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 44
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Author:
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 188
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Book Description
The specific objectives of this handbook are to develop a set of clear, relevant, and easy-to-use lessons learned that can be used to support the development of the Driver-Vehicle Interface (DVI) of near-term Collision Warning Systems (CWS): 1) building on the 1996 effort conducted by Comsis, determine the current state of human factors knowledge applicable to DVI development; i.e., controls, displays, message content & timing; 2) to support the IVBSS program, develop guidelines for the integration of forward collision (headway warning), lane change (blind spot warning) and road departure warnings; 3) identify additional research that is needed to fill existing gaps in the knowledge base; 4) focus on passenger vehicles, but include information relevant to heavy trucks and buses.--P. 3, Power point overview.
Author: Paul Green
Publisher:
ISBN:
Category : Automobile driving
Languages : en
Pages : 48
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Book Description
