Portland City Selected for Testing Road Rules Project on Self-Driving Cars


Portland, a city of Maine, has been selected to help test and improve a self-driving car technology. Inrix announced its selection of the city to assist the pilot of its AV Road Rules program.

The company is currently testing its Highly Automated Vehicles or HAVs on public roads in less than 50 cities worldwide. Recently, the firm announced a new platform called INRIX AV Road Rules to provide a foundation of AV operations in cities. The platform includes the necessary tools to allow authorities to communicate with operators of AVs implement safe deployment of self-driving technologies.

“If deployed correctly, highly automated vehicles will radically improve our transportation systems, making them safer, more efficient and higher quality. “After talking to hundreds of cities, states and federal officials, and dozens of HAV operators, we identified a critical data gap that INRIX is uniquely positioned to address,” explained Avery Ash, head of autonomous mobility at INRIX.

The technologies at INRIX are mostly focused on road safety, connected vehicles, autonomous driving, and parking and traffic. Here some of the innovation that supports cities involved in their projects:

- Roadway analytics to optimize road planning and performance.

- Population analytics to better understand the movement of people.

- Trip analytics to review the origin-destination data that contains the drives taken by people.

- Speed analytics to assist the review in historical speed and travel time data in cities.

- OpenCar Suite that includes in-vehicle software and driving optimization content for automakers.

- Road Rules platform for autonomous vehicles.

- INRIX Parking to improve the parking experience of customers.

- INRIX Traffic to handle monitoring of traffic details including commercial fleets, GPS, cell towers, and mobile devices.

According to Chris Holmes, senior manager of connected and autonomous vehicle research department at Jaguar Land Rover, the road conditions and layouts are diverse between miles that require a cooperative effort among AV operators and local authorities. A platform that supports such an effort can help self-driving vehicles achieve safety and efficiency in real-life environments.