The CARBOTRAF project aims to realize a method, system and tools for adaptively influencing traffic in real-time to reduce carbon dioxide CO2 and black carbon (BC) emissions caused by road transport in urban and inter-urban areas.
The inter-relationships between traffic states and CO2 and BC emissions will be investigated.
In particular a model linking traffic states to emission levels will be established on the basis of existing and new simulation methods and tools.
A decision support system for online prediction of emission levels will use real-time and simulted traffic and air-quality data.
Based on the prediction a low emission traffic scenario will be achieved by imposing ITS measures (re-routing, adjustment of traffic light sequences).