The Commercial Motor


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The Commercial Vehicle


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Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety


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There are approximately 4,000 fatalities in crashes involving trucks and buses in the United States each year. Though estimates are wide-ranging, possibly 10 to 20 percent of these crashes might have involved fatigued drivers. The stresses associated with their particular jobs (irregular schedules, etc.) and the lifestyle that many truck and bus drivers lead, puts them at substantial risk for insufficient sleep and for developing short- and long-term health problems. Commercial Motor Vehicle Driver Fatigue, Long-Term Health and Highway Safety assesses the state of knowledge about the relationship of such factors as hours of driving, hours on duty, and periods of rest to the fatigue experienced by truck and bus drivers while driving and the implications for the safe operation of their vehicles. This report evaluates the relationship of these factors to drivers' health over the longer term, and identifies improvements in data and research methods that can lead to better understanding in both areas.




Commercial Motor Vehicle Safety Act of 1985


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United States Code


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The Motor Industry


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Originally published in 1959, this book was one of the first to give a comprehensive view of the motor industry from an economic standpoint. Although the book concentrates on the UK motor industry, many references are made to that of the USA and other leading automobile manufacturers. Among the subjects discussed are the structure of the British motor industry, the demand for vehicles, the structure of costs, economies of large-scale production, the nature of competition and profits and sources of funds.




Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles - Technological and Methodical Approaches


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With the further development of automated driving, the functional performance increases resulting in the need for new and comprehensive testing concepts. This doctoral work aims to enable the transition from quantitative mileage to qualitative test coverage by aggregating the results of both knowledge-based and data-driven test platforms. The validity of the test domain can be extended cost-effectively throughout the software development process to achieve meaningful test termination criteria.




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