Will vehicle data be shared to address the how, where, and who of traffic accidents?

Will vehicle data be shared to address the how, where, and who of traffic accidents?

de Winter, J.C.F. (TU Delft Human-Robot Interaction)
Dodou, D. (TU Delft Medical Instruments & Bio-Inspired Technology)
Happee, R. (TU Delft Intelligent Vehicles)
Eisma, Y.B. (TU Delft Human-Robot Interaction)

2019

Vehicles are increasingly equipped with sensors that measure the state of the vehicle and surrounding road users. Although most of these sensor data currently remain local to the vehicle, the data could be shared with the aim to improve road safety. We postulate that there is a range of scenarios regarding data sharing, with two extremes: In scenario 1, the acquired shared data will be analysed regarding the how, where, and who of road traffic errors, violations, and accidents; actions can then be taken to improve automated driving systems, manage accident hotspots, and provide personalised feedback, rewards, or penalties to road users. In scenario 2, the recorded data will not be shared, because of privacy concerns. We conclude that there exists a tension between a position of utilitarian use of data and a position of privacy.

Automated vehicles
Driver behaviour
Profiling
Traffic accidents
Traffic violations

http://resolver.tudelft.nl/uuid:f9207a13-8ec8-4dd5-ae3c-239147fff6a6

https://doi.org/10.1186/s40309-019-0154-3

2195-4194

European Journal of Futures Research, 7 (1)

Institutional Repository

journal article

© 2019 J.C.F. de Winter, D. Dodou, R. Happee, Y.B. Eisma