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The next generation of transportation systems employing advanced ITS and vehicular inter-networking are difficult to evaluate because of their inherent complexity. Advanced control algorithms, sensor setups, multiple communication media, and the varying driver reactions require new planning and evaluation strategies. While simulation tools are often used to(More)
Highly automated driving on highways requires a complex artificial intelligence that makes optimal decisions based on ongoing measurements. Notably no attempt has been performed to evaluate the impacts of such a sophisticated system on traffic. Another important point is the impact of continuous increase in the number of highly automated vehicles on future(More)
The scope of the research study is to evaluate the parameter sensitivity of certain cooperative systems' parameters within microsimulation scenarios. A methodology and testing framework for the evaluation of the parameter sensitivity is developed. The parameter sensitivity of cooperative of a Broken Down Vehicle Warning function is tested and analyzed.(More)
We propose a new simulation framework that can translate a single vehicular inter-networking use case to different simulation tools with multiple traffic networks and/or data sets. This allows tools to be compared and combined as appropriate for the given use case to improve both the scalability, usability and validity in the study at hand.
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