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Author:
Publisher:
ISBN:
Category : Automatic data collection systems
Languages : en
Pages : 136
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Book Description
Author:
Publisher:
ISBN:
Category : Automatic data collection systems
Languages : en
Pages : 136
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Book Description
Author: Kenneth H. McGhee
Publisher: Transportation Research Board
ISBN: 0309070120
Category : Automatic data collection systems
Languages : en
Pages : 94
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Book Description
At head of title: National Cooperative Highway Research Program.
Author: Michael Dalgleish
Publisher: Artech House
ISBN: 1580537162
Category : Language Arts & Disciplines
Languages : en
Pages : 263
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Book Description
This unique resource gives you a hands-on understanding of the latest sensors, processors, and communication links for everything from vehicle counts to urban congestion measurement. Moreover, you learn statistical techniques for quantifying data accuracy and reducing uncertainty in both current system state assessments and future system state forecasts.
Author: United States. Federal Highway Administration
Publisher:
ISBN:
Category : Highway planning
Languages : en
Pages : 326
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Book Description
Author: Milan Tuba
Publisher: Springer
ISBN: 9811371660
Category : Technology & Engineering
Languages : en
Pages : 843
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Book Description
The book proposes new technologies and discusses future solutions for ICT design infrastructures, and includes high-quality submissions presented at the Third International Conference on ICT for Sustainable Development (ICT4SD 2018), held in Goa, India on 30–31 August 2018. The conference stimulated cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book focuses on innovative issues at an international level.
Author: G. D. Du Toit
Publisher:
ISBN: 9781868442300
Category : Roads
Languages : en
Pages :
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Book Description
Author: Erik Jakobsson
Publisher: Linköping University Electronic Press
ISBN: 9179299725
Category :
Languages : en
Pages : 22
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Book Description
Situation awareness is a crucial capability of any autonomous system, including mining vehicles such as drill rigs and mine trucks. Typically situation awareness is interpreted as the capability of an autonomous system to interpret its surroundings and the intentions of other agents. The internal system awareness however, is often not receiving the same focus, even though the success of any given mission is completely dependent of the condition of the agents themselves. The internal system awareness in the form of vehicle health is the focus of this thesis. As the mining industry becomes increasingly automated, and vehicles become increasingly advanced, the need for condition monitoring and prognostics will continue to rise. This thesis explores data-driven methods that estimate the health of mining vehicles to accommodate those needs. We do so by utilizing available sensor signals, common on a large amount of mining vehicles, to make assessments of the current vehicle condition and tasks. The mining industry is characterized by small series of highly specialized vehicles, which affects the possibility to use more traditional prognostic solutions. The resulting health information can be used both to aid in tasks such as maintenance planning, but also as an important input to decision making for the planning system, i.e. how to run the vehicle for minimum wear and damage, while maintaining other mission objectives. The contributions include: a) A method to use operational data to estimate damage on the frame of a mine truck. This is done using system identification to find a model describing stresses in the structure with input from other sensors such as accelerometers, load sensors and pressure sensors. The estimated stress time signal is in turn used to calculate accumulated damage, and is shown to reveal interesting conclusions on driver behavior. b) A method to characterize the different driving tasks by using an accelerometer and a convolutional neural network. We show that the model is capable of classifying the vehicle task correctly in 96 % of the cases. And finally c), a system for underground road monitoring, where a quarter car model and a Kalman filter are used to generate an estimate of the road profile, while positioning the vehicle using inertial measurements and access point signal strength.
Author:
Publisher:
ISBN:
Category : Highway planning
Languages : en
Pages : 500
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Book Description
Author: Cambridge Systematics
Publisher: Transportation Research Board
ISBN: 0309088232
Category : Pavements
Languages : en
Pages : 127
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Book Description
Author: Masino, Johannes
Publisher: KIT Scientific Publishing
ISBN: 3731510049
Category : Technology & Engineering
Languages : en
Pages : 234
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Book Description
The work provides novel methods to process inertial sensor and acoustic sensor data for road condition estimation and monitoring with application in vehicles, which serve as sensor platforms. Furthermore, methods are introduced to combine the results from various vehicles for a more reliable estimation.
