Ford Uses the Google Prediction API to Customize One's Route
Jana Pijak — November 14, 2014 — Autos
References: youtube & popularmechanics
Ford Motors is infusing their vehicles with Google Prediction API technology and using it to customize one's work route. Ford's predictive tech focuses on consumers' driving patterns and chronicles one's commutes, in order to create a route that best works for them.
Google Prediction API technology was released two years ago and is becoming more widely used by a number of global brands including Ford Motors. The technology is customized in conjunction with Ford's 2014 Focus Hybrid model and offers countless features. A great example includes putting one's vehicle in a gas saving mode and running on electric power once a driver is close to their destination.
Efficiency and user-friendliness are the main aims of the technology. The sophisticated Ford feature is sure to become a driver's best friend once it is familiar with their commute patterns and habits behind the wheel.
Google Prediction API technology was released two years ago and is becoming more widely used by a number of global brands including Ford Motors. The technology is customized in conjunction with Ford's 2014 Focus Hybrid model and offers countless features. A great example includes putting one's vehicle in a gas saving mode and running on electric power once a driver is close to their destination.
Efficiency and user-friendliness are the main aims of the technology. The sophisticated Ford feature is sure to become a driver's best friend once it is familiar with their commute patterns and habits behind the wheel.
Trend Themes
1. Predictive Vehicles - The fusion of predictive technology to vehicles enables personalization and customization of one's driving experience.
2. Route Optimization - Route optimization technology provides opportunities for improving efficiency and reducing fuel consumption.
3. AI Assistance - The use of AI technology in vehicles offers drivers a personalized approach to commuting with predictive traffic and suggested routes.
Industry Implications
1. Automotive - Automakers can improve operational efficiency and user experience by integrating predictive technology.
2. Transportation - Route optimization technology can pave the way to reduced fuel consumption leading to more sustainable transportation.
3. Software/technology - AI-powered technology like Google Prediction API offers new opportunities for software and technology companies to partner with automakers to enhance vehicle features.
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