loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ralph Kunze ; Richard Ramakers ; Klaus Henning and Sabina Jeschke

Affiliation: RWTH Aachen University, Germany

ISBN: 978-989-8425-00-3

Keyword(s): Truck platoons, Platoon driving, Electronic coupling, Road capacity, Data mining, Sequential pattern mining.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Decision Support Systems ; Formal Methods ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Planning and Scheduling ; Simulation and Modeling ; Symbolic Systems

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. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.85.214.0

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kunze R.; Ramakers R.; Henning K.; Jeschke S. and (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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.