EFFICIENT ORGANIZATION OF TRUCK PLATOONS BY MEANS OF DATA MINING - Application of the Data Mining Technique for the Planning and Organization of Electronically Coupled Trucks

Ralph Kunze, Richard Ramakers, Klaus Henning, Sabina Jeschke

Abstract

One opportunity to manage the increase of freight transportation and to optimize utilization of motorway capacities is the concept of truck platoons. With the aid of Advanced Driver Assistance Systems, trucks are electronically coupled keeping very short gaps (approx. 10 meters) to form truck platoons on motorways. This contributes to a couple of advantages, such as a reduction of the inter-vehicle distance, which leads to an improved vehicle occupancy and gained road space, an optimization of traffic flow, the reduction of fuel consumption advantaged by slipstream driving, a relief for professional drivers and finally an increase in safety due to the longitudinal and lateral guidance. In this paper, a brief introduction into these truck platoons is given, which have been realized within the project KONVOI. The paper focuses on the calculations for an efficient planning and organizing of truck platoons, which could have been realized by means of the application of datamining technique. Therefore, the efficiency criterion of electronically coupled truck platoons is discussed as well as the framework of the data-mining technique and the algorithm for the calculation of efficient truck platoons are presented. Finally, the experimental results of the application of the data-mining technique and their relevance for an efficient operation of truck platoons is presented.

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Paper Citation


in Harvard Style

Kunze R., Ramakers R., Henning K. and Jeschke S. (2010). EFFICIENT ORGANIZATION OF TRUCK PLATOONS BY MEANS OF DATA MINING - Application of the Data Mining Technique for the Planning and Organization of Electronically Coupled Trucks . In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8425-00-3, pages 104-113. DOI: 10.5220/0002885401040113


in Bibtex Style

@conference{icinco10,
author={Ralph Kunze and Richard Ramakers and Klaus Henning and Sabina Jeschke},
title={EFFICIENT ORGANIZATION OF TRUCK PLATOONS BY MEANS OF DATA MINING - Application of the Data Mining Technique for the Planning and Organization of Electronically Coupled Trucks},
booktitle={Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2010},
pages={104-113},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002885401040113},
isbn={978-989-8425-00-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - EFFICIENT ORGANIZATION OF TRUCK PLATOONS BY MEANS OF DATA MINING - Application of the Data Mining Technique for the Planning and Organization of Electronically Coupled Trucks
SN - 978-989-8425-00-3
AU - Kunze R.
AU - Ramakers R.
AU - Henning K.
AU - Jeschke S.
PY - 2010
SP - 104
EP - 113
DO - 10.5220/0002885401040113