Road Condition Estimation With Data Mining Methods Using Vehicle Based Sensors PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Road Condition Estimation With Data Mining Methods Using Vehicle Based Sensors PDF full book. Access full book title Road Condition Estimation With Data Mining Methods Using Vehicle Based Sensors.

Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors

Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors
Author: Masino, Johannes
Publisher: KIT Scientific Publishing
Total Pages: 234
Release: 2021-03-31
Genre: Technology & Engineering
ISBN: 3731510049

Download Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors Book in PDF, ePub and Kindle

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.


Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models

Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Author: Scheubner, Stefan
Publisher: KIT Scientific Publishing
Total Pages: 190
Release: 2022-06-03
Genre: Technology & Engineering
ISBN: 3731511665

Download Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models Book in PDF, ePub and Kindle

This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts.


Experimental investigation of relevant road surface descriptors for tire-road noise measurements on low-absorbing road surfaces

Experimental investigation of relevant road surface descriptors for tire-road noise measurements on low-absorbing road surfaces
Author: Pinay, Julien
Publisher: KIT Scientific Publishing
Total Pages: 196
Release: 2024-01-16
Genre:
ISBN: 3731513285

Download Experimental investigation of relevant road surface descriptors for tire-road noise measurements on low-absorbing road surfaces Book in PDF, ePub and Kindle

Ihrer Arbeit in der Originalsprache: This work aims at identifying relevant road surface characteristics to mitigate tire-road noise of free-rolling tires using a systematic approach. As using open porous roads is already known as an efficient measure to reduce tire rolling noise, this study will focus on compact road surfaces which have a low acoustic absorption. Measurements on standardized ISO 10844 test tracks and on public roads are used to study the norm's representativity and its completeness.


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

Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles - Technological and Methodical Approaches
Author: Elgharbawy, Mohamed
Publisher: KIT Scientific Publishing
Total Pages: 268
Release: 2023-01-13
Genre: Technology & Engineering
ISBN: 3731512548

Download Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles - Technological and Methodical Approaches Book in PDF, ePub and Kindle

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.


Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning

Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning
Author: Thorgeirsson, Adam Thor
Publisher: KIT Scientific Publishing
Total Pages: 190
Release: 2024-09-03
Genre:
ISBN: 3731513714

Download Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning Book in PDF, ePub and Kindle

In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage of probabilistic prediction models is demonstrated and it is shown that federated learning can improve driving range prediction. Using probabilistic predictions, routing and charge planning based on destination attainability can be applied. Furthermore, it is shown that probabilistic predictions lead to reduced travel time.


Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle

Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle
Author: Jauch, Jens
Publisher: KIT Scientific Publishing
Total Pages: 264
Release: 2024-03-01
Genre:
ISBN: 3731513323

Download Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle Book in PDF, ePub and Kindle

This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an electric vehicle with respect to travel time, comfort and energy consumption. The trajectory optimization method is extended to a driver assistance system for automated vehicle longitudinal control.


Development of a CO2e quantification method and of solutions for reducing the greenhouse gas emissions of construction machines

Development of a CO2e quantification method and of solutions for reducing the greenhouse gas emissions of construction machines
Author: Ays, Isabelle Charlotte
Publisher: KIT Scientific Publishing
Total Pages: 330
Release: 2022-06-27
Genre: Technology & Engineering
ISBN: 3731510332

Download Development of a CO2e quantification method and of solutions for reducing the greenhouse gas emissions of construction machines Book in PDF, ePub and Kindle

This work focuses on the development of a quantification method for GHG (CO2e) emissions from construction machines. The method considers CO2e reduction potentials in the time past-present–future, through influencing factors from six pillars: Machine efficiency, process efficiency, energy source, operating efficiency, material efficiency and CCS. In addition, transformation solutions are proposed to reduce GHG emissions from construction machines like liquid methane, fuel cell drive or CCS.


Process simulation of wet compression moulding for continuous fibre-reinforced polymers

Process simulation of wet compression moulding for continuous fibre-reinforced polymers
Author: Poppe, Christian Timo
Publisher: KIT Scientific Publishing
Total Pages: 332
Release: 2022-07-18
Genre: Technology & Engineering
ISBN: 3731511908

Download Process simulation of wet compression moulding for continuous fibre-reinforced polymers Book in PDF, ePub and Kindle

Interdisciplinary development approaches for system-efficient lightweight design unite a comprehensive understanding of materials, processes and methods. This applies particularly to continuous fibre-reinforced plastics (CoFRPs), which offer high weight-specific material properties and enable load path-optimised designs. This thesis is dedicated to understanding and modelling Wet Compression Moulding (WCM) to facilitate large-volume production of CoFRP structural components.


Mesoscale simulation of the mold filling process of Sheet Molding Compound

Mesoscale simulation of the mold filling process of Sheet Molding Compound
Author: Meyer, Nils
Publisher: KIT Scientific Publishing
Total Pages: 292
Release: 2022-07-12
Genre: Technology & Engineering
ISBN: 3731511738

Download Mesoscale simulation of the mold filling process of Sheet Molding Compound Book in PDF, ePub and Kindle

Sheet Molding Compounds (SMC) are discontinuous fiber reinforced composites that are widely applied due to their ability to realize composite parts with long fibers at low cost. A novel Direct Bundle Simulation (DBS) method is proposed in this work to enable a direct simulation at component scale utilizing the observation that fiber bundles often remain in a bundled configuration during SMC compression molding.


Numerical prediction of curing and process-induced distortion of composite structures

Numerical prediction of curing and process-induced distortion of composite structures
Author: Bernath, Alexander
Publisher: KIT Scientific Publishing
Total Pages: 294
Release: 2021-10-29
Genre: Technology & Engineering
ISBN: 3731510634

Download Numerical prediction of curing and process-induced distortion of composite structures Book in PDF, ePub and Kindle

Fiber-reinforced materials offer a huge potential for lightweight design of load-bearing structures. However, high-volume production of such parts is still a challenge in terms of cost efficiency and competitiveness. Numerical process simulation can be used to analyze underlying mechanisms and to find a suitable process design. In this study, the curing process of the resin is investigated with regard to its influence on RTM mold filling and process-induced distortion.