Streetwise Scenario Mining for Safety Assessment of Platooning Vehicles
conference paper
One option to increase the efficient use of roads and vehicles is the formation of platoons in which trucks follow each other at short distance, e.g. with a time-head-way of less than 0.5 seconds. The industry is putting large efforts into the development of technologies to make this possible. This includes vehicle-to-vehicle communication through Wi-Fi and cooperative control technology. An important aspect is the safety assessment of developed systems. Not only is an assessment needed before providing a final sign-off to allow vehicles commercially on the road, also in a testing phase during development when vehicles need to be driven for many kilometres in realistic circumstances on the public road. It is common practice to implement a fall-back system into the test vehicles for such a testing campaign. Generally, during all tests, professional test drivers are present in each of the vehicles to take over full control of the vehicle in case of errors or calamities. In any case, the vehicles also need to undergo an assessment before starting such a testing campaign on public roads. This paper shows how to define relevant and realistic test cases for such an assessment making use of a data driven scenario-based approach called StreetWise.
Topics
TNO Identifier
870369
Place of publication
Helmond
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