1,235 research outputs found

    The Success Ethic: A Study of 19th Century American Attitudes in Fiction and Reality

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    Workingmen in America have never totally accepted their position in society as fixed or permanent. Generally speaking, American workingmen in the 19th century looked upon their position in society as temporary until such a time came when they were able to ascend into the middle class

    Achieving workplace inclusiveness by using ergonomics risk assessment

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    Traditional manufacturing work practices do not consider human variability issues during the design process. However, most manual assembly activities demand high levels of repetition and speed without compromising product quality and work productivity. Individual factors including age, gender, skill, experience and anthropometry cause variations in task strategies that lead to variations in individual and organizational work performance. The ergonomics-based risk assessment methods OWAS, REBA and RULA have been used to evaluate risk levels associated with working methods. This paper discusses the need for these methods to understand and highlight the key issues generated by these variations with the objective of minimizing these variations. Methods that can be used to promote working strategies that minimize the level of risk are described. The proposed research method potentially reduces work-related musculoskeletal disorders, injuries, pain, and promotes safe, healthy, productive and more inclusive working strategies suitable for a diverse working population

    The Development of an Objective Methodology for the Evaluation of Drivers’ Field of View

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    AbstractThis paper presents research into driver vision and methods to quantify the field of view afforded a driver through a combination of direct vision (through windows) and indirect vision (through mirrors). Focusing primarily on Large Goods Vehicles (LGVs) a 3D projection technique has been developed to allow the field of view to be projected to form a visible volume of space representing what can be seen by the driver. This projection technique has previously been used in a qualitative manner to assess the presence of blind spots in proximity to LGVs and the degree to which other road users may be visible to the driver. To supplement this qualitative assessment a new quantitative, objective measure of field of view has been developed and implemented in the digital human modelling system SAMMIE. The objective measure involves the projection of the field of view afforded from a window aperture or via a mirror onto the surface of a sphere centered at the driver's eye point. The area of the resulting spherical polygon is calculated to provide an assessment of field of view that allows comparison between different vehicle configurations

    The development of an objective methodology for the evaluation of drivers’ field of view

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    This paper presents research into driver vision and methods to quantify the field of view afforded a driver through a combination of direct vision (through windows) and indirect vision (through mirrors). Focusing primarily on Large Goods Vehicles (LGVs) a 3D projection technique has been developed to allow the field of view to be projected to form a visible volume of space representing what can be seen by the driver. This projection technique has previously been used in a qualitative manner to assess the presence of blind spots in proximity to LGVs and the degree to which other road users may be visible to the driver. To supplement this qualitative assessment a new quantitative, objective measure of field of view has been developed and implemented in the digital human modelling system SAMMIE. The objective measure involves the projection of the field of view afforded from a window aperture or via a mirror onto the surface of a sphere centered at the driver’s eye point. The area of the resulting spherical polygon is calculated to provide an assessment of field of view that allows comparison between different vehicle configurations

    An objective methodology for blind spot analysis of HGVs using a DHM approach

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    This paper presents research into the quantification and evaluation of driver's field of view (FOV) from Heavy Goods Vehicles (HGVs). The research explores the nature of any blind spots to drivers' vision resulting from the vehicle design and configuration. The paper is the first of two submitted to ICED17. This paper focuses upon the methodology for the quantification of blindspots and the second paper presents the results and outlines the need for a direct vision standard (Summerskill and Marshall, 2017). The research builds upon previous work by the authors exploiting a volumetric projection technique that allows the FOV to be visualised in order to quantify the magnitude of any blind spots. The approach also provides a means to compare vehicle designs and scenarios involving the vehicle and other road users. Using this volumetric approach, the research determined the size and location of any bind spots around 19 HGVs. The sample consisted of the most sold vehicles in the year up to 2014 from major manufacturers. This paper describes the methodology employed for the evaluation of the HGV blind spots aimed at providing an objective approach to the evaluation of drivers' FOV

    Understanding direct and indirect driver vision in heavy goods vehicles - Summary Report

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    The research described in this report has been performed by Loughborough Design School (LDS) under the CLOCS programme funded by TfL. The project was specified to allow an understanding of the variability of blind spots in direct vision through windows and indirect vision through mirrors for the top selling HGVs in the UK. The impetus for the research was the increasing number of accidents between Vulnerable Road Users (VRUs) and HGVs in London. The aim was to compare the manufacturers’ most sold vehicle specifications to determine which vehicle design variables can affect the size of blind spots, and to explore issues that have been raised in previous research including the potential for construction HGVs to be involved in more accidents with VRUs than distribution variants of HGV designs. The LDS team have utilised a virtual modelling technique to explore this issue. This virtual approach allows multiple accident scenarios to be modelled and simulated. In order to allow the analysis of vehicle blind spots 19 vehicle models have been created by digitally scanning the real world vehicles. The vehicles that have been modelled include construction, distribution and long haul HGV designs, as well as ‘high vision’ low entry cab designs. These models have been used in combination with simulations of cyclist and pedestrian VRUs in a manner which recreates critical accident scenarios that have been defined through the analysis of accident data. This involves placing the simulated VRUs in a number of defined locations adjacent to the vehicle. Subsequently the simulated VRUs are moved away from the vehicle into a position where they ‘just can’t be seen’ by the driver of the vehicle, i.e. if they were moved further away they would be partially visible to the driver. The distance that the VRU simulation is away from the side or front of the vehicle cab determines the size of the direct vision blind spot. In this way vehicle designs and configurations can be compared. In addition to this further testing was performed to determine if the VRUs located in the direct vision blind spots could be viewed by the driver through the use of mirrors. The final analysis technique utilised a method which projects the volume of space that can be seen by a driver through the windows and mirrors on the surface of sphere. This provides a field of view value which can be used to compare the glazed area of HGVs and provides a method to distinguish between vehicles that perform at the same level in the VRU simulation. The results of the work highlight the follow key issues. 1. All standard vehicle configurations have blind spots which can hide VRUs from the driver’s direct vision 2. The height of the cab above the ground is the key vehicle factor which affects the size of direct vision and indirect vision blind spots 3. The design of window apertures and the driver location in relation to these window apertures can reduce the size of the identified blind spots. i.e. two different vehicle designs with the same cab height can have different results for blind spot size due to window design and driver seat location 4. Low entry cab designs, which are the lowest of the 19 vehicles tested, demonstrated real benefits in terms of reducing direct vision blind spots when compared to standard vehicle designs 5. The construction vehicles assessed in the project are on average 32% higher than the same cab design in the distribution configuration 6. For construction vehicles the distance away that a pedestrian in front of the vehicle can be hidden from the driver’s view is on average nearly three times greater than the distribution vehicles 7. For the construction vehicles the distance away that a cyclist to the passenger side of the vehicle can be hidden is on average more than two times greater than the distribution vehicles 8. The work has highlighted the need for a new standard which defines what should be visible through direct vision from the vehicle. Such a standard does not currently exist, and is seen as a key mechanism for improving future vehicle designs

    Auditing implications derived from a review of cases and articles relating to fraud

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    https://egrove.olemiss.edu/dl_proceedings/1117/thumbnail.jp

    The development of a truck concept to allow improved direct vision of vulnerable road users by drivers

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    The paper describes a research project which examined the potential benefits of increasing the allowed lengths of heavy goods vehicles in Europe to foster improved aerodynamics and safety. A concept vehicle was analyzed using the SAMMIE Digital Human Modelling system through the use of a novel technique which allows the volume of space visible to drivers to be visualized and quantified. The technique was used to quantify the size of blind spots for the concept vehicle and a baseline existing vehicle. This concept was then further iterated to improved direct vision from the cab. The results indicate that the addition of aerodynamic front sections to existing vehicle cabs has minor benefits for improved direct vision from vehicle cabs, and that other modifications such as the addition of extra window apertures and lowering the vehicle cab with reference to the floor, have benefits in terms of allowing the driver to identify VRUs in close proximity to the vehicle

    Defining the requirement for a direct vision standard for trucks using a DHM based blind spot analysis

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    The aim of the study was to understand the nature of blindspots in the vision of drivers of trucks caused by vehicle design variables such as cab design. The paper is the second of two submitted to ICED17. This paper focuses upon the results for the quantification of blindspots and the first paper presents the methodology (Marshall & Summerskill, 2017). In order to establish the cause and nature of blind spots 19 top selling trucks were scanned and imported into the SAMMIE DHM system. A CAD based vision projection technique allowed multiple mirror and window aperture projections to be created. By determining where simulated VRUs could be positioned without being visible in the direct vision of a driver, the vehicles were compared. By comparing the drivers eye height and the obscuration distance of VRUs a correlation was identified. By exploring the design features of outliers in this correlation, it was determined that direct vision blind spots are affected by various design variables. This led to the definition of a requirement for a direct vision standard for trucks, with a standard now being defined by the authors in a project funded by Transport for London
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