Reduction of CO2 emissions.
Emission reduction in inner city freight traffic
Increase of energy efficiency through dynamical tour planning.
The framework for the reaseach project „MuLi“ is Horizon 2020, of the German ministry of education and research (BMBF). The project was focussed on the development of a telematics solution for reduction of the use of ressources and CO2 emissons.
In urban agglomeration areas, freight traffic is responsible for CO2 emissions, to a very high degree. All possibilities and chances to systematically reduce the CO2 emissions should therefore be taken. The aim of the project was to prove, that the pollution load can be minimalised, by the use of intelligent traffic management software and traffic predictions, as well as by applying distance optimisation and energy efficient tour planning.
VIOM worked on the development and providing of a low of charge telematics solution for an energyefficient and emission-reduced tourplanning in this project, including traffic situation related vehicle routing and way options. The core topic was consumption- and field-working-time costs, throguh sequence optimisation und integration of dynamic traffic data whilst calculating the CO2 emission balance of a vehicle at the same time. Additionally, these results come with a detailled certificate for an encompassing fleet analysis.
Further aspects included the conduct of tour evaluations through
identification of relations of quantitative factors, like duration and distance, and qualitative factors, like timeliness of personall or CO2 emissions per way and weight, as well as a holistic correlation of traffic data and different data providers in high data density to transfer dynamical data for prognoses in realtime, with the VIOS system.
Via the possibility of collecting vehicle specific emission data and using them as measurement value-based numbers in the fleet analysis, the certifiable CO2 balance of a single vehicle could be used as foundation for economic evaluation. With this, the need to divert to less significant average values and approximate values.
It was possible to give evidence for the fact, that for inner city transports, via the reached efficiency and quality increase through sequence optimisation, with simultaneously accounting for current traffic data, a reduction of consumption costs of at least 4% and 10.5 % could be accomplished. Preconditions for this is a detailed process analysis, as well as equipping the vehicles with telematics hardware.