Foundation of Information Systems: An Analysis of Uber Air's Tech

This report provides a comprehensive analysis of Uber Air, an innovative concept for urban air mobility. It examines the company's approach to digital disruption and its use of information systems to create a new business model. The report delves into the key concepts of the project, including the Advanced Technologies Centre (ATCP), artificial intelligence, and the Elevate Cloud Services. It explores the technical aspects of Uber Air, such as electric motors, vertical take-off and landing capabilities, and the application's features for booking, location identification, and payment. The report also discusses the impact of Uber Air on the taxi industry and its potential for future growth, emphasizing the role of information systems in achieving its goals. The report concludes that Uber Air's success hinges on its clear business model and the implementation of cutting-edge technologies, making it a potentially popular and widely accepted project. The report includes a detailed reference list.

Running head: FOUNDATION OF INFORMATION SYSTEMS
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Table of Contents
Introduction......................................................................................................................................2
Critical analysis...............................................................................................................................2
Key concepts of this project............................................................................................................3
Conclusion.......................................................................................................................................5
References........................................................................................................................................7

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Introduction
The technical world is ever-changing and it brings lots of innovative ideas. Uber
Company will bring an innovative concept regarding their taxi services with the help of
information systems (Yang et al., 2020). Uber Air is a concept of a future air taxi in which
partially or fully air targets taxi transport systems within a dense urban environment. For
reducing the footprint in the urban environment, Uber Company explores the concept named
Vertical Take-Off and Landing. It will land in the pad construction and it will help to establish
the connection with the ground transportation. Its rideshare network will be reconfigured in such
a manner that it will allow the consumers to fly with the cars rather than regular and terrestrial
ones.
In this report, there is a detailed discussion regarding the innovative idea of Uber named
Uber Air (Hassan, 2020). The critical analysis of Uber Air is performed with the help of some
relevant literature. In this report, the main idea of this innovative system is discussed in detail.
Critical analysis
According to Makarenco & Akulich (2019), electric drones are reserved with the help of
smartphone application and it helps to pick up the people from the office rooftops. It reduces
travel time by hours. The Uber Air is defined as the electric articraft and it has some driverless
feature. As per Horan (2017), the structure of the Uber’s “Elevate” looks like a small jet. It has
lots of propellers on the top. Uber authority mentions that they will demonstrate the Uber Air in
2020 and will launch commercial service in 2023 (Taghavi, Bentahar & Otrok, 2020). According

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to Keli (2017), Uber says that they will use the heliports on rooftops. But it needs multi-floor
construction which is almost similar to parking zones.
They will implement unmanned drones in the United States, Japan, and other countries
because in those countries unmanned drones are legal (Szilágyi et al., 2020). For flying
unmanned drones, prior approval is required. According to Risen (2018), if drones flyers attend
the special classes offered by the Government of Japan then they will receive a license. In this
particular case, driver’s license is not required. Uber Company implements zooming feature in
Uber Air.
Key concepts of this project
The initial focus of the Advanced Technologies Centre (ATCP) is digital sciences while
conducting this project. ATCP is used to build artificial intelligence along with optimization as
well as airspace management system. It is used to support uber air at a scale. Digital sciences
include Artificial Intelligence. It helps to provide decision making and increased automation,
performing optimization and the implementation of the safety software systems. They have an
innovative working mechanism for their air taxi (Hosseinzadeh et al., 2020). It is powered by
electric motors and will contain sophisticated software. It has vertical take-off and landing
facility. It will be five times faster than normal taxi and reduces the traffic congestion of a city. It
has a zero-emission facility. Uber Air will have an air-based lift service and it will consist of four
passengers at the time of take-off. This drone-like the vehicle will use the four wing-mounted
propellers for performing the horizontal take off. After landing, it will create the landing facility.
Their electrical vehicle takeoff and landing lifts will be autonomous driving. It helps to modify
the air traffic ecosystem. Uber Air will maintain FAA safety standards.

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With the help of the android and iOS applications, the consumer can book that flying
taxi. Developers of the application will use MapKit for the iOS and Google Maps Android
API. It is used for the calculation of the routes and makes some decisions.In the Android and
iOS-based applications, Uber will implement lots of exciting features for Uber Air, the flying
taxi application for Uber. These are as follows:
 Registration and Log-In
Uber will allow registering the name of the consumer with the first name, last
name, phone number, and language (Hassan, 2020). If a consumer successfully performs
the registration operation then they will send the consumer a Short-Message-Service to
his or her registered contact number. It will help the user to make the payment successful.
 Characteristics of booking
It helps the drivers to accept or reject the recently booked ride (Edwards & Price,
2020). It also helps the drivers to receive information regarding the current location and
destination of the consumer.
 Identification of gadget location
Uber will receive the geographic location as well as orientation of the gadgets for
scheduling of the location for pick-up as well as destination of the consumer (Garrow et.
al., 2020).
 Accurate direction
This application will provide the exact location to the driver of Uber Air and users
(Cotton, 2020). They will use MapKit for iOS-based applications and Google Maps

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Android API for android for the calculation of routes and will make the available
direction.
 Giving notification to the user and SMS
The user will receive three notifications from Uber when they book the ride for
Uber Air. These are as follows:
A notification will provide the information to the user regarding the
acceptance of the booking request by the driver (Cohen et al., 2020).
Another notification will be sent when the driver of the Uber Air will be
closer to the location of the user.
A notification will be sent to the user if the booking is canceled by the
driver of Uber Air.
 Calculation of price
Uber will offer a cashless payment facility to the user (Chauhan & Martins,
2020). It will help the driver to pay automatically after the successful completion of the
ride.
The most important feature of this project is Elevate Cloud Services (Bertram &
Wei, 2020). It is an IPTV solution hosted in the cloud. It will be used to manage dense
unmanned operations and low altitude air traffic.
Conclusion
Uber Air will be successful because of its clear business model and implementation of the
latest technologies. It will be an app-enabled urban transportation service and the use of new

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technologies will increase the mobility of the services. It has a very good infrastructure. They
also say that Uber Air will be cheaper than a normal taxi. Because of that, it will enjoy the
highest popularity among the public. As it will be using the latest technologies, it will have a
huge public acceptance. In the end, it can be said that it will be one of the most popular projects
in this globe.

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References
Bertram, J., & Wei, P. (2020). Distributed Computational Guidance for High-Density Urban Air
Mobility with Cooperative and Non-Cooperative Collision Avoidance. In AIAA Scitech
2020 Forum (p. 1371).
Chauhan, S. S., & Martins, J. R. (2020). Tilt-wing eVTOL takeoff trajectory
optimization. Journal of Aircraft, 57(1), 93-112.
Cohen, A., Guan, J., Beamer, M., Dittoe, R., & Mokhtarimousavi, S. (2020). Reimagining the
Future of Transportation with Personal Flight: Preparing and Planning for Urban Air
Mobility.
Cotton, W. B. (2020). Adaptive Airborne Separation to Enable UAM Autonomy in Mixed
Airspace.
Edwards, T., & Price, G. (2020). eVTOL Passenger Acceptance.
Garrow, L. A., Mokhtarian, P. L., German, B. J., & Boddupalli, S. S. Commuting in the Age of
the Jetsons: A Market Segmentation Analysis of Autonomous Ground Vehicles and Air
Taxis in Five Large US Cities.
Hassan, H. (2020). FACTORS INFLUENCING CLOUD COMPUTING ADOPTION IN
SMALL MEDIUM ENTERPRISES. Journal of Information and Communication
Technology, 16(1), 21-41.
Hosseinzadeh, S., Sequeiros, B., Inácio, P. R., & Leppänen, V. (2020). Recent trends in applying
TPM to cloud computing. Security and Privacy, 3(1), e93.

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Szilágyi, B., Fejes, Z., Póliska, S., Pócsi, M., Czimmerer, Z., Patsalos, A., ... & Berhés, M.
(2020). Reduced miR-26b Expression in Megakaryocytes and Platelets Contributes to
Elevated Level of Platelet Activation Status in Sepsis. International Journal of Molecular
Sciences, 21(3), 866.
Taghavi, M., Bentahar, J., & Otrok, H. (2020). Two-stage game theoretical framework for IaaS
market share dynamics. Future Generation Computer Systems, 102, 173-189.
Yang, X., Deng, L., Liu, J., Wei, P., & Li, H. (2020). Multi-Agent Autonomous Operations in
Urban Air Mobility with Communication Constraints. In AIAA Scitech 2020 Forum (p.
1839).