Data Modeling and Database Design

10DATA MODELING AND DATABASE DESIGN
Data Modeling and Database Design
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1DATA MODELING AND DATABASE DESIGN
Table of Contents
Introduction......................................................................................................................................2
Automated Traffic Management Scope...........................................................................................2
Several traffic lane...........................................................................................................................5
Refuelling........................................................................................................................................6
Security issues and logic diagram....................................................................................................8
Conclusion.....................................................................................................................................11
References......................................................................................................................................12

2DATA MODELING AND DATABASE DESIGN
Introduction
The traffic management is one of the most challenging issues of transportations system to
keep traffic safety as well as decrease the congestion of the traffic (Campos et al., 2017).
Obstruction of traffic is often considered as a contributing reason for causing accidents as well as
a significant impact on the economy of the country.
Automated Traffic Management Scope
Automatic Traffic Management (ATM) is based on the autonomous vehicles that are
based on the powerful agents, which are capable in cooperating between themselves in managing
the traffic in a secure way (Levin & Boyles, 2016). There is high Accuracy GPS (Global
Positioning System) device on the cars that helps to navigate through the roads by a road map
that is accessed by the vehicles. The smart cars can help in having more sophisticated and
intelligent based traffic information that is based on the vehicle-to-vehicle (Victor et al., 2017).
The benefits that will be gained as per the projection of the autonomous are a green
machine, safer streets, saving time, tailoring traffic and saving space.
The proposing of the autonomous vehicles offers the fact that proper management of the
driverless car will be benefitting the processing of optimisation of the processing of the fuel
consumption. This ensures the fact that the fuel that is consumed in the driverless vehicles are
comparatively lower than that of the other cars that are present in today’s society (Chen et al.,
2017). It is expected that the emission of effluents will reduce by 60% after the acceptance of the
driverless cars have been high. This is an important reason that the focus of the processing of the
data management section will be benefitted as per the processing of the automated system
(Weiskircher, Wang & Ayalew 2017).

3DATA MODELING AND DATABASE DESIGN
With the implementation of the autonomous cars, the central aspect that is taken into
consideration is mitigation of the process of the management of the section of the commencing
of the safer communication can be achieved. This more reliable communication insists on the
fact that accidents can be prevented. This prevention of accidents will ensure the fact that the
management of the traffic will get easier for the local road traffic authority (Maurer et al., 2017).
This is the main reason that the acceptance of autonomous processing has been increasing. This
increase in the processing of the lack of accidents ensures a higher acceptance rate.
Tailoring of traffic is an significant aspects that has been benefitting the processing of the
data management system. This is the main thing that over 7 billion hours are spent in traffic. This
is a significant aspects that proper management of traffic will be performed in a manner that will
induce better processing of autonomous vehicles. Effluents can be saved, and hence the main
advantage that is received include the fact that fossil fuels can be preserved. It is also estimated
that $ 160 billion is wasted in the effluents in the processing of the traffic management system
(Fagnant & Kockelman 2015). The autonomous cars are capable enough to track the data and
hence the road that is to be taken for a better communication process will be enhanced. This
determination of the shortest and the efficient route that will improve the understanding of the
calculated and hence the time taken will be significantly low. This also ensures that the
processing of fuel consumption will also reduce. Increases the sustainability of the process and
scope of increasing the acceptance of the technology has been getting higher. The testing and
processing of the license provisioning will get better. This bettering of the provisioning will
enhance the fact that proper understanding of the data set will be received and the licensing
process will get enhanced (Levin & Boyles 2016). This has been the main reason that the local