Authors:
Ralph Kunze
;
Richard Ramakers
;
Klaus Henning
and
Sabina Jeschke
Affiliation:
RWTH Aachen University, Germany
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 techniqu
e. 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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