Route Analysis And Planning For Urban Transportation On Basis Of Floating Car Data And Emission Estimates

Transport carriers and forwarding agents have to cope with time-dependent traffic volumes and densities, high fuel prices and hard competition. Roadside cargo transportation is characterized by the interaction of public interests like security of supplies, climate goals and sustainability. A methodology for the provision of dynamic routings in urban road networks for delivery on basis of Floating Car Data (FCD) and enriched emission estimates from the new version of the Handbook of Emission Factors (HBEFA 8 3.1) is proposed. Using examples in the city of Vienna route indicators like shortest time (ST), shortest distance (SD), a hybrid time-distance criterion (Cost) and lowest carbon footprint are compared. Depending on criteria and time domain, average deviations are up to 15% in route length, 17% in travel time (TT), 11% in costs and 13% in CO2 emissions. An individual case shows differences between a static and hourly dynamic routing of up to 90% in TT and up to 50% in CO2 emission. An approach for estimating on-trip data is also shown and demonstrated on basis of experimental high resolution probe car data and compared to the predicted results obtained with the proposed methodology. Deviations are up to 20% in TT, 9.5% in CO2 and 16% in costs. By this it is possible for transport companies to compare own routes with predicted ones to identify the potential of monetary savings. On the other side the approach can be used for advanced planning of delivery routes in urban areas.