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S. Alian:
"Seamless Route Planning for Freight Transport by Integration of Real Time Traffic Data";
Supervisor: G. Schilk, G. Navratil; FH Technikum Wien, Studiengang Intelligent Transportation Systems, 2014; final examination: 2014-06-25.

The purpose of this thesis is to explore the complexities behind route planning in a multimodal network. This can pave way to a more efficient form of route planning provided the data available is reliable and up to date.
The freight transport route planning problem involves determining a path, involving transhipments between different transport modes from a specified to a similarly specified destination in a transport network. The approach was to formulate a fundamental layer where a user can deconstruct this problem.
The more fresh and accurate the traffic data, the more possibilities in calculating the closest optimized route. The optimized route whether it may be the shortest path or a path with lower travel times demands a highly reliable and up to date traffic data. The results can be compared by simulating the data on a pre-defined model.
In conclusion it was possible to simulate the optimal route using static data. The results showed how real-time traffic data can be merged later to obtain an optimal result. For better resolution itīs also possible to use it alongside historical data and forecast future demand mobility.

The purpose of this thesis is to explore the complexities behind route planning in a multimodal network. This can pave way to a more efficient form of route planning provided the data available is reliable and up to date.
The freight transport route planning problem involves determining a path, involving transhipments between different transport modes from a specified to a similarly specified destination in a transport network. The approach was to formulate a fundamental layer where a user can deconstruct this problem.
The more fresh and accurate the traffic data, the more possibilities in calculating the closest optimized route. The optimized route whether it may be the shortest path or a path with lower travel times demands a highly reliable and up to date traffic data. The results can be compared by simulating the data on a pre-defined model.
In conclusion it was possible to simulate the optimal route using static data. The results showed how real-time traffic data can be merged later to obtain an optimal result. For better resolution itīs also possible to use it alongside historical data and forecast future demand mobility.

Freight Transport, Multimodal Navigation, Real-Time Traffic Data