Assoc Prof E Moltchanova, Dr Christoph Bartneck
No more applications being accepted
Competition Funded PhD Project (Students Worldwide)
About the Project
Holiday news coverage is unfortunately never complete without reports of traffic jams and the road death toll. Autonomous vehicles are expected to solve both problems. Always sober, always alert, always obedient to the rules. In New Zealand, they have the potential to reduce the number of traffic accidents caused by drunk or distracted drivers, as well as those involving tourists who are unfamiliar with driving on the left side of the road. However, it would be unrealistic to assume that the autonomous vehicles could achieve a perfect driving record and avoid fatalities altogether. So how safe do they need to be before we can accept them onto our roads? To move this discussion from philosophy to policy we need to establish empirical benchmarks. The goal of this project is to use past road accident data to develop a simulation framework for the cost-benefit analysis of autonomous self-driving vehicles.
In the first phase of this project we will analyse the data in the New Zealand Crash Analysis System (CAS) to determine the factors most influencing the probability and severity of accident occurrence. CAS includes detailed, spatially-explicit traffic accident information which we intend to complement with other relevant information, such as weather conditions. In the second phase we intend to create a simulation framework that will empower us to formulate recommendations regarding successful deployment of autonomous vehicles. Will they be most useful in large densely populated metropolitan areas during the morning rush hour or should they better be deployed in remote areas instead? Would it make tourist trips safer? By establishing how safe human drivers are we will be able to establish safety performance standards for autonomous vehicles. Once autonomous vehicles meet this benchmark it could be argued that human driving should become illegal. Given the size and complexity of the data, the candidate is expected to utilise state-of-the art modelling, such as Bayesian spatio-temporal regression modelling, Bayesian networks, and random forests.
Funding Notes
The Geospatial Research Institute Toi Hangarau (GRI) is pleased to offer ONE PhD scholarship as a supplement to the University of Canterbury PhD scholarship. This scholarship is available only to a new PhD applicant who will complete research towards an approved geospatial project. The scholarship value is NZ$9,000 per year plus up to NZ$2,000 for travel and other costs per year, in addition to the University of Canterbury scholarship: the total package is worth up to NZ$33,000 per year, plus tuition fees. For more details and to apply, please see here: https://geospatial.ac.nz/scholarships/
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