Results, Conclusions, and Recommendation Sections

Mechanics of style should enhance content understanding, and writing skillfully supports the message and is in required format. Citations and references present and IAW APA.
The Air Traffic Management

The first air route traffic control center (ARTCC), which directs the movement of aircraft between departure and destination, was opened in Newark in 1935. Old Tech is still running America’s air traffic control even though people plan to go to Mars. The improvements in the US ATC system are significant, but have come at a much slower pace than some other countries. The federal procurement process is so cumbersome that too often equipment is outdated when it is installed. The FAA is moving steadily toward replacing the old system of ground-based radars to track aircraft with one that relies on satellite-based technologies which is Automatic Dependent Surveillance-Broadcast (ADS-B). The transition from radar surveillance to Automatic Dependent Surveillance-Broadcast (ADS-B) or better tech to track airplanes in flight and on the ground more accurately and reliably.

But as tech pushes on, we have 5G system and better systems that can be apply to ATC system. And it will provide more reliable and safe ATC system. There is a much greater quantity of traffic in the US than in most countries and we need better ATC system for the traffic. The purpose of the research is how modernization of ATC can have more benefit then Old Tech.

References
Brooker, P. (2013). Introducing unmanned aircraft systems into a high reliability ATC system. Journal of Navigation, 66(5), 719-735. https://doi.org/10.1017/S0373463313000337 (Links to an external site.)

Ito, J. (2001). New ATC promises significant benefits: Higher reliability, improved passenger comfort, and greater flexibility in train scheduling are promised by a new ATC system being developed by JR central. (signalling). International Railway Journal and Rapid Transit Review, 41(5), 48.

Krella, F., & Eurocontrol Experimental Centre. (1986). Experimental use of artificial intelligence for (future) ATC systems. Eurocontrol Experimental Centre.

Li, R., Zhou, Z., Cheng, Y., & Wang, J. (2017). Failure effects evaluation for ATC automation system. Applied Computational Intelligence and Soft Computing, 2017, 1-8. https://doi.org/10.1155/2017/8304236 (Links to an external site.)

Pan, W. J., Wu, D., Wang, W. B., & Huang, C. Y. (2014). Research of human factors under automatic ATC system. Applied Mechanics and Materials, 513-517, 2799-2803. www.scientific.net/AMM.513-517.2799 (Links to an external site.)” TARGET=”_blank”>https://doi.org/10.4028/www.scientific.net/AMM.513-517.2799 (Links to an external site.)