The project: “AI Powered Awareness for Increased Traffic Safety”, has explored how multiple traffic- and road-related datasets can be analyzed using AI algorithms to identify roads with an elevated accident risk. Massive real-time data streams as well as large historic datasets have been evaluated by the project and then used to feed the AI algorithm. The ability to turn huge, but currently under-utilized, datasets into specific and quantified accident risk predictions may be used for proactive traffic management that ultimately could prevent accidents to occur. This would be a huge gain in the efforts to create a safer traffic system and the project has laid the foundation for this. Vehicle companies, map, and location data providers as well as traffic management authorities have been collaborating in the project to provide their knowledge, innovative concepts, and technology. Volvo Cars together with Zenseact created a data fusion platform that applies an AI algorithm for continuous accident risk evaluation on a road segment level. HERE made their “HERE Platform” available for the project, used both as a plentiful data source for Volvo Cars/Zenseact’s AI algorithm as well as a communication layer to forward predicted accident risks to a Central Traffic Control (CTC) cloud. The CTC cloud was provided by Carmenta using the Carmenta TrafficWatchTM platform with the purpose to collect and compile traffic situation data from various online sources and from a central level dispatch relevant traffic hazard warnings to connected organizations. The accident risks were transmitted from the CTC cloud to the Drive Sweden Innovation Cloud managed by Ericsson. The Innovation Cloud is a platform for business-to-business data and insights sharing, thus adding even more options for other organizations to share the accident risk predictions originating in the Volvo Cars/Zenseact data fusion platform. The Swedish Transport Administration and City of Gothenburg made huge contributions throughout the project, adding the traffic management authority perspective. At a workshop, traffic safety experts from Swedish Transport Administration, presented the latest findings and current guiding policies around traffic safety issues in Sweden and elaborated around Sweden’s “Vision Zero” initiative. Very important input for assessing how project findings and results can benefit a more pro-active traffic management. The project has successfully met its goals and not only implemented a first version of an AI-powered data fusion platform but also established and tested an end-to-end data flow mechanism to make the accident risk predictions immediately available to many connected organizations. All project members sees great potential in continuing the exploration of predictive awareness for increased traffic safety within their own organizations. Most likely the successful outcome of the “AI Powered Awareness for Increased Traffic Safety” project will lead to future follow-up Projects.