Intelligent Predictive Cruise Control Application Analysis for Commercial Vehicles based on a Commercial Vehicles Usage Study

Peter Kock , Andrzej Ordys , Gordana Collier , Ralf Weller

Abstract

With the introduction of advanced digital road maps, which include information on the slope and curve radius of the highways, predictive control for standard and hybrid commercial vehicles, based on these maps, is about to be released by the vehicle manufacturers. For example, intelligent predictive cruise control has been announced for introduction in 2012 by Scania and Daimler. In addition, hybrid commercial city buses like MAN's Lion's City Hybrid have already been implemented. But the question remains about the type of vehicle suitable for the implementation of predictive intelligent concepts, due to the high investment cost compared to the sometimes relatively low operating cost savings. This study analyses usage and performance data collected from approximately 20,000 commercial vehicles, which include long distance trucks, distribution trucks, city buses and coaches, in order to answer the question which vehicle types should be equipped with intelligent predictive cruise control considering an economic reasonable return on investment.
Author Peter Kock - MAN Truck & Bus AG
Peter Kock,,
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, Andrzej Ordys (FM / IACR) - [Kingston University]
Andrzej Ordys,,
- The Institute of Automatic Control and Robotics
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, Gordana Collier - Kingston University
Gordana Collier,,
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, Ralf Weller - MAN Truck & Bus AG
Ralf Weller,,
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Journal seriesSAE International Journal of Commercial Vehicles, ISSN 1946-391X, e-ISSN 1946-3928
Issue year2013
Vol6
No2
Pages598-603
Publication size in sheets0.5
ASJC Classification2203 Automotive Engineering
DOIDOI:10.4271/2013-01-9022
Languageen angielski
Score (nominal)5
Score sourcejournalList
ScoreMinisterial score = 0.0, 07-09-2020, ArticleFromJournal
Ministerial score (2013-2016) = 5.0, 07-09-2020, ArticleFromJournal
Publication indicators Scopus Citations = 2; GS Citations = 4.0; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 0.971
Citation count*6 (2020-09-13)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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