AI-based real-time distributed traffic risk assessment
The feasibility study has clarified the needs for scaling up an existing cloud architecture for proactive security, which collects data from various sources. The objective is to create a composite benefit from this data to benefit both the vehicle and other stakeholders in the traffic system. A central aspect of this is to create a consolidated risk assessment that can be shared with the vehicle driver.
What has the project concluded and what does the future hold?
The feasibility study has identified the need to upgrade an existing cloud architecture for proactive security, utilising data from various sources. This data will benefit vehicles and other stakeholders in the traffic system. A key aspect is to develop a comprehensive risk assessment that can be provided to vehicle drivers.
Based on the feasibility study, the project team has determined that the project will require a longer commitment than previously anticipated. To facilitate this, they plan to seek funding to employ an industrial doctoral candidate with accompanying supervision for a period of five years. During this time, interim results will be delivered continuously to enable their immediate utilization.
Partners
Volvo Cars, SmartEye, ZenseAct and CEVT
