Data, and the effective processing of it, will be central to a successful connected and autonomous vehicle ecosystem.
When we visualise the city of 2050, many of us picture executives accessing their daily newsfeed as their car drives them autonomously to the office while science-fiction-style driverless pods transport people effortlessly around the city. Smart intersections respond in real-time to the conditions around them. Congestion has been consigned to history and the stresses once associated with commuting to work and getting around the city are a dim and distant memory. Best of all, the city has not witnessed a road traffic accident in years.
Anyone who has bought a new car in recent years will have noticed the huge leap in technology that has taken place over the past decade. Connected vehicles (CVs) are bringing seismic technological shifts to driving, but autonomous vehicles (AVs) bring cultural and societal ones, not least because their progress and integration relies on road users of all kinds putting all their trust into technology.
We are still some way off AVs being part of everyday life in our cities but efforts to make this happen have been ongoing for several years. Pilot projects and trials are underway in many cities around the globe and key milestones and deployments that take us nearer to the future are regularly reported on
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