Modeling traffic processes on large-scale road networks leads to the application of positive non-linear systems, Luenberger (1979). Running profiles can be gained from the applied large-size network model based on previous validations, which are sufficiently complex, complicated and built up by accelerations, decelerations and frequent stops. To develop accelerated methods for analyzing complex environmental impact on urban trajectories.
Our planned researches on emission encourage the further standardization and beyond that, the bilateral interoperability. According to our goals we point out on the differences, which have to be taken into account in the urban traffic also, and of which the lab measurements may vary. Real processes operate like this, which differ from those applied in laboratories and on roller brake test bench. In reality, however, vehicle emission strongly depends on driving style; moreover, it is also affected by any change in traffic flow. Significant differences can be realized in various regions and countries. The role of the optimal vehicle control is highlighted in every case. The same can be stated of the environmental loads of pollutant emissions and concerning the vehicle and environment dynamic. The detailed analysis introduced above has big impact on further automotive researches as being rapid and applicable for big number of vehicles providing statistical support.
Mathematical Problems of Collaborating Robotic Vehicle Traffic
