Range Prediction Models for E-Vehicles in Urban Freight Logistics Based on Machine Learning

In this paper, we want to present an ICT architecture with a range prediction component, which sets up on machine learning algorithms based on consumption data. By this, the range component and therefore ICT system adapts to new vehicles and environmental conditions on runtime and distinguishes itse...

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Bibliographic Details
Published inData Mining and Big Data Vol. 9714; pp. 175 - 184
Main Authors Kretzschmar, Johannes, Gebhardt, Kai, Theiß, Christoph, Schau, Volkmar
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2016
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Clustering
Electric mobility
Pattern recognition
Range prediction
Online AccessGet full text
ISBN3319409727
9783319409726
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-40973-3_17

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Summary:In this paper, we want to present an ICT architecture with a range prediction component, which sets up on machine learning algorithms based on consumption data. By this, the range component and therefore ICT system adapts to new vehicles and environmental conditions on runtime and distinguishes itself by low customization and maintenance costs.
ISBN:3319409727
9783319409726
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-40973-3_17