I only see the positives. This improves safety, efficiency of the transport process, and improves comfort for drivers and passengers. What's more, travel times, fuel consumption and environmental pollution are reduced.
Today's disruptive technologies power ITS and its components to render it more smarter. But intelligence requires data. More information is necessary for smarter systems.But What data will we share where, when and how much?
Another issue is the slowness in the development of studies / ideas to regulate systems, due to the technologies being newer and still developing and / or being skeptical. For example, tracking systems developed using blockchain and IoT technologies are much more efficient than today's systems. Nevertheless, the blockchain eliminates the authentication functions of the central authorities and allows peer-to-peer agreements. Although this does not constitute a terrible phenomenon, standards and regulations are needed.
I agree with Javid Jafarov, but I am concerned with another issue.
A big part of people is working in the transportation sector (public transport, personal transport, fret transport...). The good and the bad part of intelligent vehicles is that they never get tired, never ask for a holiday or for a higher salary. It is obvious that the day when an intelligent vehicle becomes less costly than a human, transport companies won't hire humans for these jobs. Of course, transport jobs are far from being passionate jobs, but they allow people to feed their families. It's not a smaller niche sector that will be eradicated, we are talking about millions of people. And this type of shaking is unprecedented.
I am 100% sure that autonomous transportation is the direction to engage because of all the arguments stated by Javid Jafarov. I just want to point out this important social threat. Millions of people that can't be employed, can be dramatic for our society if we are not prepared.
Thank you to Tanveer for the interesting European Bank for Reconstruction and Development policy paper. ITS is a long awaited technology. Among others, I was involved in the Melbourne City Link project in 1995... Toll systems have been deployed wordlwide, but deployment was slower than expected. Is it disruptive? Yes for local people: you must equip the infrastructure AND the cars and trucks. It takes always years to change the habits. Here in France, we have ETC for 20 years roughly. But deployment is still a few %. Benefits should be great on congestion, polution, safety, ... and they are. But disruptive??? Level 5 autonomous cars are now postpone, not very estonishing!
Along with the internet of things, data in the traffic environment is collected instantly. Thus, the necessary data for the development of smart transportation systems is reached. City planning can be made with these data. Thanks to artificial neural networks, future predictions can be made from the data obtained from traffic and city traffic can be planned.
Generally, I am agree with Javid Jafarov and Volodimir Mitarchuk. Additionaly;
As the unpredictable development of artificial intelligence systems continues, there will be more than autonomous vehicle systems combined with developments in the internet of things. For example: While planning the routes and times of existing lines with artificial intelligence, it will also indicate how many vehicles you need to have in the future. However, the system that performs these will also inspect and route autonomous public transport vehicles on the field, provide a route to them, immediately intervene in judicial incidents, inform the authorized units in case of natural disasters and inter-city accidents passing through rural areas. To give another example; Artificial intelligence, which constantly monitors the images inside the vehicle, will automatically detect the person who committed theft crime and inform the nearest police units ... Maybe in the future, such forensic cases will be intervened with humanoid robot cops.
Advances in the internet of things will lead to incredible advances in the field of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication. While communication costs are falling, almost the limits will be lifted in areas where you can control autonomous vehicles.
As far as this goes, it goes with imagination .. But I think most importantly It should be studied on artificial intelligence roof systems that will control artificial intelligence systems.
Disruptive Technology means that an established technology can be displaced by innovative solutions that require fewer resources and can grow exponentially, very often, shaking up the economy and structure of the related businesses. ..
Artificial Intelligence and Deep Learning will be used to speed up the process of proactive traffic management, availability, increasing of the level of detail, up-date frequency, accuracy, and currency of Geospatial Information.