Autonomous vehicles are bringing a very different new reality in road traffic. However, human factors will remain present both in the near future and in the long term, because of the: - mixed traffic of autonomous and non-autonomous vehicles during the long transition phases (different at the different places of the world), - the interaction
The Internet of Things and of Everything is steadily making easily available massive driving and travelling data, which present a very high potential for monitoring driving and travelling behaviour and subsequently provide customized feedback both to the driver/traveller and to the systems managers (public or private), which was never available before. It is the first
Today the driver makes choices, tomorrow the choices will be made by the autonomous vehicles, by the autonomous traffic and by the people managing them. So there is need to "train" the vehicles, the traffic and the people managing them on how to handle a number of fundamental choices. Firstly, a number of real time
The main difference between roads and the other transport modes, is that most road vehicle drivers are not professionals, not having received heavy training and not following the very high and strict behaviour standards of the professional drivers and pilots of all the other transport modes. Furthermore, the road environment, especially in urban areas, is
The high complexity of the urban environment requires the joint consideration of several societal needs such as the environmental and energy performance, the transport and safety effectiveness, the functional urban structure and the overall quality of life, which inevitably involve difficult and often conflicting choices to be made. Furthermore, the continuous transformation of the urban
