Road Safety Impacts of connected and automated vehicles
One of the aims of LEVITATE is to forecast road safety impacts. The article written by Wendy Weijermars (SWOV), Andreas Hula (AIT), Amna Chaudhry (LOUGH), Sasa Sha (LOUGH), Rins de Zwart (SWOV), Celina Mons (SWOV) and Hitesh Boghani (LOUGH) collects the impact of CATS on road safety which has been briefly presented during the last webinar of LEVITATE, as well. Moreover, it further presents the specific impacts on road safety for the individual sub-use cases and communicates how these expected impacts can be quantified. Conclusions suggest that in normal circumstances, CAVs are expected to have a lower crash rate than human driven vehicles; CAVs make less errors than human drivers, are assumed to respect all traffic rules and are expected to have lower reaction times and less variability in driving behaviour. Read the full article here.
Delphi method to measure impacts of connected and automated vehicles
Within LEVITATE, the Delphi method is used to determine all impacts that cannot be defined by the other quantitative methods (traffic microsimulation/system dynamics). Initially, a long list of experts were identified for each use case and contacted via an introductory mail asking them to express the willingness of participation. Those who responded positively (70 experts) participated in the main Delphi process. If you want to know more about the Delphi studies conducted in the frame of LEVITATE, including the list of impacts and result introduction to the Policy Support Tool, read our article from the National Technical University of Athens.
Monetary impacts of connected and automated vehicles
One of the objectives of LEVITATE is to develop a tool for performing cost-benefit analyses of policies designed to maximise the societal benefits of introducing connected and automated vehicles. This tool will be part of the Policy Support Tool developed by LEVITATE. Can everything be converted into monetary terms when it comes to the impact of automated vehicles?
Read Rune Elvik’s article from the Norwegian Institute of Transport Economics.