Ground Traffic Control Management System on Exhibiting sky Scrapers like Passengers carried over a QC
Ground Traffic Control Management System on Exhibiting sky Scrapers like Passengers carried over a QC (Quadcopter)
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We Exhibiting the 7 Types of Traffic and automobiles in those traffic systems. So We would keep the passengers in Quadcopters through the takeoff of the QC from ground to different heights of measurement and Also it contained by Lift options and also charging system is very popularized while in charging the QC's through Attaching the QC to the lift and the lift gets closer when the traffic is somewhat zero and the lift gets pull outs to ground when the QC's battery is much higher or managebale.
This Technology is far better than the metro stations or BMTC or KSRTC. In upcoming days it would really get matched up with the technology of Quadcopters like as if we bring those ideas with system of craze in travelling industries whether it could show the traffic in similar way that the pedestrians will be attracted with the innovation of this technology.
If we think of the infrastructure of the Quadcopter and passenger inside of How many seats? How many space? and How it was built on a safe manner.
So Keeping this as a consideration we just first innovate a new quadcopter as like a documentary to explain about this we need a drone and a pillar of 10 feet higher and inside that we need a lift system of carrying 10 people under the system of First come first serve reserved for the ticket which is prebooked and we focus it on the problems faced by the deep learning system of ideas and footage of that in one exhibition. So after every problems gets a solution. Others like people asks for the safety and advantages of this QC system of travelling.
We provide a new System of trvelling guide to all the travellers and also we keep one cofidential guide to learn those quickly so that everybody is new to this technology and we phrase those activities in social medias and then we land on this present work of controlling those in different heights with different spaces.
Normally we keep 10 seats like in ground station to 1st base station we will provide guidance for the pilot and also for the travellers. After this the QC getting 100% charged it will be ready to ramp or chill to fly in the sky upto 30 feet for the 1st base station and 60 feet for the second base station, and 90 feet for the level upgrading with 120 seats inside for long ride for sky it takes chargeable attached with lift facilities and also it emerges out in the form of straight drive neither it will be attached to charging soon after they get a notification about the battery percentage and soon after they get charged the flysky notifies the detached cable and it is ready to fly higher.
Then the last passenger QC's which is made for 180-200 feet height with long lifting capability with the seats of 240 covered will be made with 16/16 sqaure feet area and it is the largest occupied station in the history of this Passenger QC. So it is one of the biggest automobile which is measured in the scale of 4 BMTC busses carrying the 240 seats of passengers inside. Downline it carrries more battery charged with fast charger and On Upline it is equipped with most capable capacity so if we make out this in every area with ground level prequlaified of 30 feet then we can make out upto 180-240 feet higher after learning the system of new technological aspects of travelling ideas and key patterns to manage the travelling agenda.
So finally it is said that the more number of stations would give us a comfortable flying zones and I think this had a capability of manufacturing those in certain industrial areas first we shuld give a touch feel and then we develop those QC's and keep upfronting the learning analysis with deep learning and also if we are made a 50:50 ratios of tarvelling and focussing on the big picture of these future quadcopters we can bring not only in Silicon city we can get out stations also. So the learning access is to maintain the complete life cycle of this technology.
We have more Advatnages to see this in the future. so they are,
1. Traffic will be under control and it creates a tourist attraction of travelling in skies for future days
2. It brings lot more Stations and for traffic managing the ground clearance of about 60%
3. It is attracted towards every citizen of the areas where it is working highly on Bangalore or Hyderabad so it carries large number of seats and time scopes are much possitive and made possible even in rural areas.
4. It takes less time to land in busy time it gives much comfort zones to land in a very less time range.
5. It carries 10 people inside the lift for one time so if we want to take the more people it should have made seperate lift centres to plugin more passengers at a single pace of learning access we could not cover but developing one by one on a rule based system of ideas we can do that as if we bring with positive ideas.
6. It clears the population for about 40% of population in ground level for travelling it takes less time to arrive at the particular place.
7. It is having much feasibility in career growth on these platforms which is best for retired pilots and also freshers landing on this type of jobs it may be data science or ML scientists who make this possible
8. It recreates more attaractive passengers who spend their valuable time in engaging with best Hopes of AI technology.
9. It funds for new people to make changes in their career growth as if they have multiple verocity and velocities to run those engines in upfronting the most seatings of the travelling paltforms.
10. It keeps time sensed with safety of the passengers where it notifies the battery percentage and automatic detentional notification for the pilots and also the pilots can operate in any virtual online places or inside the QC's
11. The pilots are having more feasible options to perform their ride in the growing industry of QC's in upcoming days.
12. More forwarding to new young people while they can give confidences to the more hopeful passing the messages to each and every people.
Disadvatages
1. timely engaging with passengers would give a change and it is totally depended on the deep learning analysis of their QC's.
2. Electricity inside the power system of charging is encrypted due to hacking system which was threatened nowadays.
3. Charging of Quadcopters are made in ground station when large number of seats like 180-240 seats of passengers followed up with registering for tickets
4. Online ticket system management is depended on timely enagaged QC's which is different for different regions.
Conclusion
We should focus on lifetime learning and earning on this technology so it takes time to add more libraries and more framework tools so it is settled only when exhibited in all the infrastructural methods and their thesis on arguments under high courts or supreme courts considering this as a good thesis and end up with good hopes in futuristic dilemmas and ideas.
QC- Quality control
QC - also Quadcopter
So we meant for this new techonology only to control traffic management system in high traffic areas first.
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