Welcome to the National Transport Library Catalogue

Normal view MARC view

GRO : NT: Green route optimisation and navigation for heavy trucks. Final report Sena, Michael L ; Hjälmdahl, Magnus ; Svensk, Per-Olof ; Wevers, Kees ; Johansson, Anders

By: Contributor(s): Publication details: Stockholm VINNOVA, 2011Edition: version 0.4Description: 198 sOther title:
  • GRO:NT: Grön rutt optimering och navigering för tunga fordon
Subject(s): Online resources: Abstract: The Swedish program for strategic automotive research (FFI) financed a one-year study of energy efficient navigation for heavy vehicles beginning October 2010. Scania is the leading party in the project with participation by Navteq, Triona AB, Michael L Sena Consulting AB, the Swedish Transport Administration and the Swedish National Road and Transport Research Institute (VTI). The project has investigated the issues that can lead to the delivery of energy efficient navigation for heavy vehicles . A state-of-the-art study has been made analyzing data and usage issues, route optimization algorithms, the actors and business cases required for the accurate and timely data delivery to heavy vehicles. Concrete recommendations are presented concerning which are intended to serve as a foundation for an eventual full implementation of energy efficient navigation for heavy vehicles.
Item type: Reports, conferences, monographs
No physical items for this record

The Swedish program for strategic automotive research (FFI) financed a one-year study of energy efficient navigation for heavy vehicles beginning October 2010. Scania is the leading party in the project with participation by Navteq, Triona AB, Michael L Sena Consulting AB, the Swedish Transport Administration and the Swedish National Road and Transport Research Institute (VTI). The project has investigated the issues that can lead to the delivery of energy efficient navigation for heavy vehicles . A state-of-the-art study has been made analyzing data and usage issues, route optimization algorithms, the actors and business cases required for the accurate and timely data delivery to heavy vehicles. Concrete recommendations are presented concerning which are intended to serve as a foundation for an eventual full implementation of energy efficient navigation for heavy vehicles.