Safer Roads and Greater Independence
Waymo
Waymo’s highly autonomous technologies (HAVs) utilize AI and computer vision techniques to pave the way for increased road safety, less congestion, and reduced carbon emissions. The deployment and integration of autonomous vehicle technology has the potential to reduce commuting times and costs and provide greater independence for people who are unable to drive, including seniors and individuals with disabilities, by providing them with a safe and reliable means of transportation.
The Waymo Driver sees and understands the world through a number of sensors, including cameras outside the car, and powerful AI software. With the help of AI and machine learning, the Waymo Driver uses large amounts of data to calculate safe routes, allowing cars to respond in real time to the evolving traffic environment. The Waymo Driver has spent millions of miles on public roads across more than a dozen states, capturing data along the way to continuously improve its performance through AI, making it the world’s most experienced driver.
Helping Cities Improve Mobility and Manage Traffic Flows
INRIX Compass
INRIX, a transportation analytics company, created INRIX Compass to help cities better manage traffic flow to reduce commute times and auto emissions. Compass uses generative AI powered by Amazon Bedrock to leverage vast, diverse datasets to quickly pinpoint transportation issues, providing essential insights into emerging trends and problem areas and enabling a more informed and proactive approach to traffic management. The AI model uses historical and real-time data from various sources, including vehicles, mobile devices, multi-modal systems, and parking services, to provide in-depth insights to help cities and businesses adopt smarter, safer, and more sustainable mobility strategies to address core transportation challenges.
Optimizing Flight Routes and Schedules
Alaska Airlines and Airspace Intelligence
Airspace Intelligence, an aerospace software company, partnered with Alaska Airlines to optimize flight routes and schedules to reduce fuel consumption and flight times. Using Airspace Intelligence’s AI-driven platform, Flyways, the airline lowered average flight times by five minutes, saving over 480 thousand gallons of jet fuel over a six-month period.
The Flyways platform uses AI and machine learning to assist dispatchers in making flight operations more efficient and sustainable by optimizing routes and improving the predictability and flow of airline traffic. The platform uses data on mileage and fuel consumption, weather conditions, aircraft weight, airline traffic, and historical data to test all possible routes against the original route and find the most fuel- and time-efficient routes and schedules in real time, minimizing delays and fuel consumption.