I agree with you. It might be beneficial for the countries, regions where the majority of the population depends more on long drives and the infrastructure is ready to draw the benefits of this or there is a good support from the governments. For the developing countries, this may be distant dream. But I see an increasing trend of using GPS services in India already.
In my opinion, the big investments required to implement Big data Analytics and roadside infrastructure can be paid off by the reduced fuel consumption, reduced no of accidents and the asscoated traffic jams, reduced time to travel and less stress and some kind a peace of mind for those long distance taxi and truck drivers
@jnissen, privacy and security will always be a big issue (and to an extent, a big business) when anyone starts collecting data. Who will own the data; who get to access that data; how they will use that data, etc. etc.
That said, kinds of data the author is talking about is more to do with building vehicle-to-infrastructure communication. I was recently talking to a Japanese automotive industry source. When the earthquake and tsunami hit Japan on March, 2011, for a long time, people had NO idea which roads were open or disrupted -- largely because there was no "crow-sourced" data.
Not knowing information on the road conditions was very problematic, because that means they couldn't figure out routes they should take to deliver emergency goods -- water, food, gas, etc.
It took the Japanese indsutry several weeks to get its act together, but eventually, they collected GPS data from various vehicles, combined with any additional data from various On-star like services. They laid out the information on Google Map and created a whole new useful map online for anyone to use -- in terms of which roads to take.
That, my friend, is not a bad example illustrating the advantage of crowd-sourcing the data.
While this sounds so great to network vehicles to extract every experience with a pothole, red light and use of the brakes the downside was never given. Privacy or lack of any semblence of privacy specifically. If you want someone to know where you drove, how far, etc... then this would be the way.
Who would use this data? I bet the same political hacks that propose taxing us based on miles driven are the ones who would help fund this. I can only immagine future taxes for agressive driving or liberal use of a gas pedal. How about an extra tax because I applied the brakes more than I should have. No thanks - leave me out of it.
Drue, thanks for your contribution here. The results of your trial described here are quite interesting. Now that you are proposing both carmakers and government to take bold decisions (which I agree whole heartedly), what needs to get done to talk them into actually taking 'bold decisions'? What's still missing in your opinion?
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.