• Corpus ID: 53979488

Cooperative dynamic formation of platoons for safe and energy-optimized goods transportation D3.2 Information Model for Platoon Services

  title={Cooperative dynamic formation of platoons for safe and energy-optimized goods transportation D3.2 Information Model for Platoon Services},
  author={Rikard Laxhammar},
Investigating the Potential of Truck Platooning for Energy Savings: Empirical Study of the U.S. National Highway Freight Network
Truck platooning enabled by connected automated vehicle (CAV) technology has been demonstrated to effectively reduce fuel consumption for trucks in a platoon. However, given the limited number of
A Taxonomy of Optimization Factors for Platooning
This paper provides an overview which categorizes objectives and influencing factors, and metrics for the evaluation of objective attainment are proposed.
M2M technology for bus fleet management. Case study: A college transportation system
A pilot plan to provide a real-time bus location for a college transport system in order administrators can schedule routes based on travel criteria in order to analyze routes for managing path options is described.
Merging and Splitting Maneuver of Platoons by Means of a PID Controller
This paper focuses on the merging and splitting of n-vehicle platoon using the PID controller algorithm, which is one of the most used algorithms in process industries and extends its usability for platoon.


Artificial Intelligence: A Modern Approach
The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications.
Deliverable D3.1 Component Specifications for the Overall Architecture
  • 2015.
  • 2015
Predictive modelling of fuel consumption using machine learning techniques
  • Internal report, Scania CV AB,
  • 2014
Intelligent Transport Systems (ITS) Vehicular Communications; Basic Set of Applications; Part 2: Specification of Cooperative Awareness Basic Service
  • ETSI, 2014.
  • 2014
A Second Course in Statistics: Regression Analysis
1. A Review of Basic Concepts (Optional) 1.1 Statistics and Data 1.2 Populations, Samples and Random Sampling 1.3 Describing Qualitative Data 1.4 Describing Quantitative Data Graphically 1.5
Advances in learning theory : methods, models and applications
The subjects in this publication are very interdisciplinary and relate to problems studied in neural networks, machine learning, mathematics and statistics.
Numerical Simulations of the Flow around a Yawing Truck in Wind Tunnel
Ground vehicles such as cars and heavy trucks travelling on road are often exposed to unsteady flows. Particularly, the oscillation of vehicles in the vertical direction (maybe caused by side force
Introduction to Information Retrieval
  • R. Larson
  • Computer Science, Environmental Science
    J. Assoc. Inf. Sci. Technol.
  • 2010
This chapter discusses Information Retrieval, the science and technology behind information retrieval and retrieval, and some of the techniques used in the retrieval of information.
The Nature of Statistical Learning Theory
  • V. Vapnik
  • Computer Science
    Statistics for Engineering and Information Science
  • 2000
Setting of the learning problem consistency of learning processes bounds on the rate of convergence of learning processes controlling the generalization ability of learning processes constructing
Simple and Low-Cost Aerodynamic Drag Reduction Devices for Tractor-Trailer Trucks
Three simple, low cost aerodynamic drag reduction devices have been developed for application to the trailer of a tractor-trailer truck. The three devices have undergone extensive operational testing