Predicating Predictions: How BlueSignal Plans to Utilize AI to Overhaul Travel

The approach to AI traffic management is surprisingly simple, in theory. Real-time updates are provided instantly to assess and mitigate worsening traffic conditions, thus delivering travel ETAs that are more accurate than ever. For many, this is a breakthrough poised to reshape the very culture of urban transportation – and transportation and delivery services. With AI analyzing commute patterns for pedestrians, cars, buses and trains, that data could aid in decongesting high-traffic areas, rapidly flag road construction zones or accidents, coordinate smarter traffic lights, and more. Adaptive traffic-control systems making route-planning easier could even reduce the distress that comes part and parcel with daily rush hour and clogged roadways.

However, like most sensitive matters, what’s simple in theory can morph into a much more complex conversation.

This is where BlueSignal seeks to step in, specifically in Bangkok, Thailand. BlueSignal, a provider of AI-based prediction services, was introduced to the Thai government via KAIST Global Technology Commercialization Center in efforts to collaborate on Thailand’s Smart City project. Mainly, BlueSignal looks to supply its AI “Navi Box” technology for smarter CCTV, and understanding this essentially comes in two parts.

The first involves predicting and calculating traffic volume through data related to speed in more mainstream areas, and the second evaluates risk variables more focused on narrow roads and alleyways. Combined, this day-to-day traffic-tracking from BlueSignal could lead to safer and more streamlined travel into and out of Bangkok.

Like with most AI-related points of interest, this story is still developing. BlueSignal has also mingled with New Zealand company Spotlight to provide more AI video analysis, as well as Hamburg City Hall in Germany for intuitive traffic forecasting. It is evident that global competition will only heat up as smart city ventures like BlueSignal’s come closer and closer into view.