Mualliflar

  • Raximov Raxmatullo Rafuiqjon o’g’li
  • Xoshimov O‘tkirbek Xakimjon o‘g‘li

DOI:

https://doi.org/10.71337/inlibrary.uz.tinnint.111982

Kalit so‘zlar:

Keywords: Economics of transport vehicle operation management mobile application.

Annotasiya

Abstract: The article examines the problems of modern economics of transport. 
Every year the number of owners of a personal vehicle is constantly growing. However, 
a  number  of  users  prefer  not  to  have  their  own  vehicle  due  to  the  high  cost  of 
maintaining  it,  but  to  use  taxi  services.  Owners  of  fleets  and  production  fleets  of 
vehicles also face the problem of determining the costs of their operation. Thus, the 
need  to  track  up-to-date  information,  cost  analytics  and  ways  to  reduce  them 
significantly affect the economic attractiveness of driving 


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MOBILE APPLICATION FOR VEHICLE OPERATION MANAGEMENT

Raximov Raxmatullo Rafuiqjon o’g’li

Andijan state tchnical

institute– assistant, Uzbekistan

Xoshimov O‘tkirbek Xakimjon o‘g‘li

Andijan state tchnical institute –

bachelor student,Uzbekistan

Abstract

: The article examines the problems of modern economics of transport.

Every year the number of owners of a personal vehicle is constantly growing. However,
a number of users prefer not to have their own vehicle due to the high cost of
maintaining it, but to use taxi services. Owners of fleets and production fleets of
vehicles also face the problem of determining the costs of their operation. Thus, the
need to track up-to-date information, cost analytics and ways to reduce them
significantly affect the economic attractiveness of driving

Keywords:

Economics of transport; vehicle operation management; mobile

application.


Introduction

The modern economics of transport is associated with a large

number of issues, among which one might single out the use of information systems in
transport, which allow managing transport and logistics systems using methods of
forecasting and planning cargo flows, solving issues of resource allocation efficiency,
on the basis of which it becomes possible to build and analyze models of the
architecture of the traffic control system. The modern transport information technology
market includes a wide range of solutions, including: the intelligent transport systems,
smart cart, next-gen GPS devices, mobile applications, urban transport vehicles. A
special place is occupied by the relevance of managing the operating costs of the
vehicle. In matters of management and decision support, intelligent systems have
proven themselves well, allowing them to support vehicle management, as well as
infrastructure management, including entire policies and the overall management
system; Internet of things technologies that make it possible to control the flow of
vehicle traffic and recognize license plates. Vehicle owners are forced to spend more
resources on vehicle maintenance every year compared to the previous year. According
to an analysis of thematic news services for 2021, on average, drivers spend about 100
thousand per year on car maintenance, averaging fuel prices (47.5 r/l), averaging
consumption of 8 liters. per 100 km and mileage averaging (15 thousand km). Taking
into account the average monthly salary in the territory of the Russian Federation, the
cost of a car per year averages 16%. Mobile technologies have proven themselves well


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as a mechanism capable of managing a large amount of semistructured information
with a user-friendly interface. As studies show, the convenience and speed of a
transaction affect the attractiveness of mobile applications, which determines the ease
of understanding, intuitive operation and reliability. Intelligent mobile technologies
with the functions of context-sensitive recommendation systems are also worth
attention. In addition, mobile technologies are used to control the quality of the urban
environment, road networks and transport services for the population, and the reasons
for the popularity of mobile technologies in the field of transport attract the attention
of researchers that might be interested in studying the factors that influence the
intention of drivers to use mobile navigation applications. Given the significant
popularity of mobile devices among car enthusiasts, the development of a mobile
application that can aggregate information on the costs of operating a vehicle, take
notes, view up-to-date gas stations within the radius of the user’s location, and also
predict consumption for the coming month is of the greatest relevance. In connection
with the problem described above, the application will allow the user to structure
information about their vehicle expenses and will also show the highest expenses by
financial criterion

Methods and Materials

: The basic functionality of the application is:

• viewing the nearest places on the map (gas stations, car washes, vehicle maintenance
services);
• adding a seat if the system did not provide it;
• cost management;
• personal data management;
• management of temporary notes;
• vehicle control. At the stage of logical design of the mobile application, a software
architecture was defined that implements the stated functional requirements. The result
of software architecture design is shown in Figure 1.


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The

following functional subsystems are supposed to be distinguished in the system:

• data storage subsystem;

• data presentation subsystem on the client;

• subsystem for executing user requests. To implement the application, a three-tier
client-server architecture was chosen, since it is crucial to access a third-party
database, and the MVC pattern. The model of the physical architecture of the mobile
application is shown in Figure 2. As the comparison shows, the most popular
programming languages are Java and Python, but Python loses significantly in
performance. Since Spring is a very flexible and rich framework that provides high
performance, decomposition and improves the readability of code written in the Java
programming language, this programming language was chosen for the back end


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Conclusions

Thus, the developed mobile tool allows in a format convenient for the driver to

control the operation of the vehicle. Based on the analysis of statistical data, the driver
quickly receives analytical information on the costs of operating the vehicle, has the
ability to automatically determine the list of current gas stations within the radius of
the user's location, and also predict the consumption for future periods of time.

References

1.

1.Xoshimov

O’tkirjon

Hakimjon

o’g’li

Systems

215,

106740.

https://doi.org/10.1016/j.knosys.2021.106740. Kadłubek, M., 2021. Expectations
for the use of Intelligent Transport Systems applications in the management of
freight transport enterprises. Procedia Computer Science 192, 2318–2329.
https://doi.org/10.1016/j.procs.2021.08.222. Korablev, V., Gugutishvili, D.,
Lepekhin, A., Gerrits, B., 2021.

2.

Developing a Traffic Management System Architecture Model. Transportation
Research Procedia 54, 918–926. https://doi.org/10.1016/j.trpro.2021.02.147.
Schmitz, C., Bartsch, S., Meyer, A., 2016.

3.

Mobile App Usage and its Implications for Service Management – Empirical
Findings from German Public Transport. Procedia - Social and Behavioral Sciences
224, 230–237. https://doi.org/10.1016/j.sbspro.2016.05.492. Seliverstov, Y.,
Starichenkov, A., Nikitin, K., 2020.

4.

Using mobile applications to evaluate quality of road networks and transport
mobility.

Transportation

Research

Procedia

50,

636–646.

https://doi.org/10.1016/j.trpro.2020.10.075. Sirina, N., Zubkov, V., 2021.

5.

Transport Services Management on Transport and Logistic Methods.
Transportation

Research

Procedia

54,

263–

273.

https://doi.org/10.1016/j.trpro.2021.02.072. Strenitzerova, M., Stalmachova, K.,
2021.

6.

Customer requirements for urban public transport mobile application.
Transportation

Research

Procedia

55,

95–102.

https://doi.org/10.1016/j.trpro.2021.06.010. Yang, L., Bian, Y., Zhao, X., Liu, X.,
Yao, X,. 2021.

Bibliografik manbalar

References

1.Xoshimov O’tkirjon Hakimjon o’g’li Systems 215, 106740.

https://doi.org/10.1016/j.knosys.2021.106740. Kadłubek, M., 2021. Expectations

for the use of Intelligent Transport Systems applications in the management of

freight transport enterprises. Procedia Computer Science 192, 2318–2329.

https://doi.org/10.1016/j.procs.2021.08.222. Korablev, V., Gugutishvili, D.,

Lepekhin, A., Gerrits, B., 2021.

Developing a Traffic Management System Architecture Model. Transportation

Research Procedia 54, 918–926. https://doi.org/10.1016/j.trpro.2021.02.147.

Schmitz, C., Bartsch, S., Meyer, A., 2016.

Mobile App Usage and its Implications for Service Management – Empirical

Findings from German Public Transport. Procedia - Social and Behavioral Sciences

, 230–237. https://doi.org/10.1016/j.sbspro.2016.05.492. Seliverstov, Y.,

Starichenkov, A., Nikitin, K., 2020.

Using mobile applications to evaluate quality of road networks and transport

mobility. Transportation Research Procedia 50, 636–646.

https://doi.org/10.1016/j.trpro.2020.10.075. Sirina, N., Zubkov, V., 2021.

Transport Services Management on Transport and Logistic Methods.

Transportation Research Procedia 54, 263– 273.

https://doi.org/10.1016/j.trpro.2021.02.072. Strenitzerova, M., Stalmachova, K.,

Customer requirements for urban public transport mobile application.

Transportation Research Procedia 55, 95–102.

https://doi.org/10.1016/j.trpro.2021.06.010. Yang, L., Bian, Y., Zhao, X., Liu, X.,

Yao, X,. 2021.