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Driver support in congestion : an assessment of user needs and impacts on driver and traffic flow

Mobility is a key factor for modern societies. However, it also brings about problems, such as congestion, accidents and pollution. High expectations rest on in-vehicle systems to contribute to solving these problems. These so-called driver support systems use advanced information and communication technology to assist the driver in performing elements of the driving task, such as maintaining a proper speed or avoiding an accident. A variety of systems is under investigation or already commercially available. Most current systems are autonomous systems that do not communicate with other vehicles or the infrastructure. Recently, the development of driver support systems is more and more directed at cooperative systems that do communicate and therefore extend the driver’s horizon. Despite the research and development efforts, the market introduction of driver support systems finds itself in an early stage. Car manufacturers employ a rather conservative strategy, because they are uncertain about the financial risks and the usability of these systems. Governments and road operators are uncertain about the actual impacts of driver support systems on traffic safety and traffic efficiency, which makes them hesitant to take measures to facilitate, stimulate or regulate the introduction of these systems. This thesis aims at reducing the above uncertainties by improving the knowledge of user needs for driver support systems and the impacts of one of such systems, the so-called Congestion Assistant, on the driver and the traffic flow.