A Computer Program (VEHSIM) for Vehicle Fuel Economy and Performance Simulation (automobiles and Light Trucks). Volume I: Description and Analysis. Final Report PDF Download
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Author: Russell W. Zub
Publisher:
ISBN:
Category :
Languages : en
Pages : 112
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Book Description
Author: Russell W. Zub
Publisher:
ISBN:
Category :
Languages : en
Pages : 112
Get Book Here
Book Description
Author: Russell W. Zub
Publisher:
ISBN:
Category :
Languages : en
Pages : 56
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Book Description
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 1474
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Book Description
Author: National Research Council (U.S.). Highway Research Information Service
Publisher:
ISBN:
Category : Highway engineering
Languages : en
Pages : 608
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Book Description
Author:
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 148
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Book Description
Author:
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 824
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Book Description
Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 810
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Book Description
Author: United States. National Technical Information Service
Publisher:
ISBN:
Category : Ecology
Languages : en
Pages : 204
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Book Description
Author: Harald Waschl
Publisher: Springer
ISBN: 331991569X
Category : Technology & Engineering
Languages : en
Pages : 235
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Book Description
This book describes different methods that are relevant to the development and testing of control algorithms for advanced driver assistance systems (ADAS) and automated driving functions (ADF). These control algorithms need to respond safely, reliably and optimally in varying operating conditions. Also, vehicles have to comply with safety and emission legislation. The text describes how such control algorithms can be developed, tested and verified for use in real-world driving situations. Owing to the complex interaction of vehicles with the environment and different traffic participants, an almost infinite number of possible scenarios and situations that need to be considered may exist. The book explains new methods to address this complexity, with reference to human interaction modelling, various theoretical approaches to the definition of real-world scenarios, and with practically-oriented examples and contributions, to ensure efficient development and testing of ADAS and ADF. Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions is a collection of articles by international experts in the field representing theoretical and application-based points of view. As such, the methods and examples demonstrated in the book will be a valuable source of information for academic and industrial researchers, as well as for automotive companies and suppliers.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309070880
Category : Science
Languages : en
Pages : 257
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Book Description
The Mobile Source Emissions Factor (MOBILE) model is a computer model developed by the U.S. Environmental Protection Agency (EPA) for estimating emissions from on-road motor vehicles. MOBILE is used in air-quality planning and regulation for estimating emissions of carbon monoxide (CO), volatile organic compounds (VOCs), and nitrogen oxides (NOx) and for predicting the effects of emissions-reduction programs. Because of its important role in air-quality management, the accuracy of MOBILE is critical. Possible consequences of inaccurately characterizing motor-vehicle emissions include the implementation of insufficient controls that endanger the environment and public health or the implementation of ineffective policies that impose excessive control costs. Billions of dollars per year in transportation funding are linked to air-quality attainment plans, which rely on estimates of mobile-source emissions. Transportation infrastructure decisions are also affected by emissions estimates from MOBILE. In response to a request from Congress, the National Research Council established the Committee to Review EPA's Mobile Source Emissions Factor (MOBILE) Model in October 1998. The committee was charged to evaluate MOBILE and to develop recommendations for improving the model.
