In a time when technology seems to evolve on a daily basis, the Federal Highway Administration is looking to lay the groundwork on integrating artificial intelligence into the transportation network.
The report goes into great depth on the past, present and future of AI, and how emerging machine learning is expected to help create automated transportation systems.
“Machine learning applications offer the potential to supplant human work in a variety of” transportation management systems, the report says, including data analysis and automated “traffic imagery analysis, incident detection, traffic control and traffic signal timing.”
The report notes that AI technology has hurdles to clear before it can reach its potential.
“AI applications should find their way from research experiments and pilot demonstrations to fully scalable applications in the near term,” the report says.
The federal highways report adds that driverless vehicles are likely to be in use in the near term and automated drones in the “medium term.”
There appear to be significant barriers to self-driving cars. The occasional high-profile Tesla crashes attest to that.
The original article can be found here.
According to AI application to the society, AI World Society has established AIWS Innovation Network will connect key AI actors and provide services that can assist in the development of AI.