April 2, 2019

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Are we on the right road to driverless cars?

Credit: CC0 Public Domain
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Credit: CC0 Public Domain

There is much ongoing research into autonomous road vehicles and experimental cars and heavy-goods vehicles have already hit the roads. A paper published in the International Journal of Automotive Technology and Management examines some of the myths associated with driverless vehicles and analyses the route that we might navigate to a new transport destination – the autonomous mobility paradigm.

Alexandros Nikitas, Eric Tchouamou Njoya, and Samir Dani suggest that "Connected and autonomous vehicles (CAVs) could become the most powerful mobility intervention." Unfortunately, despite the paradigm-shifting impact on traffic safety, economics, the environment, , and network performance, there are still many complications associated with acceptance by the industry, policymakers, drivers, and passengers to be addressed before this new transport becomes the norm.

The team recognizes that there is a pressing need to frame an unproven, disruptive, and life-changing intervention, against the conventional automobile technologies without generating new misconceptions, overreaching expectations, and with sufficient room to accommodate predictive errors and avoiding hyperbole. If the benefits of this paradigm shift are to be wrought. They discuss 11 myths surrounding connected and autonomous vehicles

Their paper tests these 11 myths that perhaps refer to an overly optimistic CAV development and adoption timeline. By taking this approach they have highlighted unresolved issues that need to be addressed before an inescapable transition can happen. They thus provide relevant policy recommendations on how it might ultimately become achievable.

More information: Alexandros Nikitas et al. Examining the myths of connected and autonomous vehicles: analysing the pathway to a driverless mobility paradigm, International Journal of Automotive Technology and Management (2019). DOI: 10.1504/IJATM.2019.098513

Provided by Inderscience

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