Browsing Category
Autonomous Transportation
47 posts
News and analysis regarding adoption and deployment of autonomous transportation in Canada including self-driving cars and other self-driving vehicle technology along with pilots for autonomous shuttles, driverless cars and self-driving trucks.
How connected vehicles and smart traffic infrastructure offer a roadmap to make cities safer
The potential of Cooperative Intelligent Transport Systems (C-ITS) — or V2X (Vehicle-to-everything) technology — to enable safer, smarter transportation in Canada is immense. Experts in our recent webinar weigh in on the promise and pitfalls
Deloitte Canada report challenges auto sector to address growing cybersecurity risk from connected vehicles
With cybersecurity incidents involving connected, autonomous, shared and electric vehicles on the rise, a Deloitte Canada report outlines the risks and lays out a strategy showing industry stakeholders how they can meet their responsibilities to ensure a safe mobility ecosystem
Automated driver assistance failures in AAA tests highlight need for standards and more driver awareness
Despite widespread deployment of advanced driver assistance systems is current vehicles, new test results from the American Automobile Association reveal weak spots in the technology in both ICE and EVs that could have dangerous consequences
What autonomous shuttle setbacks in Whitby and Toronto tell us about safety and insurance issues for AVs in Canada
Who is at fault in an autonomous vehicle accident? Are autonomous driving features safe? Is your self-driving car insured? In the wake of a high-profile accident and autonomous shuttle cancellations in Whitby and Toronto, we asked industry experts for their takeaways and to reflect on our future AV landscape
AI self-driving startup Waabi creates made-in-Toronto autonomous vehicle driving school
Dubbed Waabi World, the simulated driving school for autonomous vehicles is the first offering from the high-profile startup founded by Canadian AI star Raquel Urtasun. It aims to help engineers develop the brains of self-driving software while removing the on-road risk