Streamlining Transport Management: The Evolution of Machine-to-Machine Communication

Year : 2024 | Volume :01 | Issue : 02 | Page : 21-26
By

S. A. Patil

Shruti Autade

Vaishnavi Dahei

Rutuja Gaikwad

Diksha Pawar

  1. Lecturer Department of Computer Technology Sanjivani K.B.P Polytechnic, Kopargaon Maharashtra India
  2. Student Department of Computer Technology Sanjivani K.B.P Polytechnic, Kopargaon Maharashtra India
  3. Student Department of Computer Technology Sanjivani K.B.P Polytechnic, Kopargaon Maharashtra India
  4. Student Department of Computer Technology Sanjivani K.B.P Polytechnic, Kopargaon Maharashtra India
  5. Student Department of Computer Technology Sanjivani K.B.P Polytechnic, Kopargaon Maharashtra India

Abstract

Every transportation industry, as is well known, has its own paperwork that employees of the organisation can complete. There is a lot of paperwork in the transport business. The user will be able to oversee multiple tasks with this way. Additionally, the user can track orders and inspect their goods. By using this method, the user will be able to work more efficiently and save time and energy. It involves a variety of methods and resources needed to complete the project successfully. This method will assist users in scheduling and planning more effectively, saving time and energy, and producing work that is more productive. A system for transportation management could be a type of software that aids companies in organising and carrying out the transportation of their products. It complies with regulations and might aid them in keeping track of their paperwork.

Keywords: Services Provided, Online Platform, Client Satisfaction, Transport Management System, Automation

[This article belongs to International Journal of Electrical and Communication Engineering Technology(ijecet)]

How to cite this article: S. A. Patil, Shruti Autade, Vaishnavi Dahei, Rutuja Gaikwad, Diksha Pawar. Streamlining Transport Management: The Evolution of Machine-to-Machine Communication. International Journal of Electrical and Communication Engineering Technology. 2024; 01(02):21-26.
How to cite this URL: S. A. Patil, Shruti Autade, Vaishnavi Dahei, Rutuja Gaikwad, Diksha Pawar. Streamlining Transport Management: The Evolution of Machine-to-Machine Communication. International Journal of Electrical and Communication Engineering Technology. 2024; 01(02):21-26. Available from: https://journals.stmjournals.com/ijecet/article=2024/view=147108

References

1. Stanley E. Griffis, Thomas J. Goldsby. Transportation management systems: an exploration of progress and future prospects. Journal of Transportation Management > Vol. 18 & Iss. 1 (2007) 18-32. doi: 10.22237/jotm/1175385780
2. Neelam More, Sakshi Dhekane, Mitali Konde, S.D Sapate. Transport Management System. International Journal of Advanced Research in Computer and Communication Engineering. Vol. 11, Issue 4, April 2022; 358-363.
3. Ajay P., Nagaraj B, Pillai B.M., Suthakorn J, Bradha M. Intelligent ecofriendly transport management system based on IoT in urban areas. Environment, Development and Sustainability. 2022 Jan 4:1-8.
De Souza AM, Brennand CA, Yokoyama RS, Donato EA, Madeira ER, Villas LA. Traffic management systems: A classification, review, challenges, and future perspectives. International Journal of Distributed Sensor Networks. 2017 Apr;13(4):1550147716683612.
5. Chauhan V, Patel M, Tanwar S, Tyagi S, Kumar N. IoT Enabled real-Time urban transport management system. Computers & Electrical Engineering. 2020 Sep 1; 86:106746.
6. Chmielewski J. Transport demand model management system. In IOP Conference Series: Materials Science and Engineering 2019 Feb 1 (Vol. 471, No. 10, p. 102068). IOP Publishing.
7. Tarapiah S, Atalla S, Alsayid B. Smart on-board transportation management system Geo- Casting featured. In 2014 World Congress on Computer Applications and Information Systems (WCCAIS) 2014 Jan 17 (pp. 1-6). IEEE.
8. Lushi A, Daas D, Nadeem M. IoT-Based Public Transport Management System. In 2022 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT) 2022 Dec 18 (pp. 69-75). IEEE.
9. Akkerman G, Buynosov A, Dorofeev A, Kurganov V. Decision support system for road transport management in the digital age. InInternational Scientific Siberian Transport Forum 2019 May 22 (pp. 773-781). Cham: Springer International Publishing.
10. Gajewska T, Walczyk D. Development of Transport Management Software. Sustainability. 2023 Aug 7;15(15):12083.
11. S. Djahel, R. Doolan, G. -M. Muntean and J. Murphy, & A Communications-Oriented Perspective on Traffic Management Systems for Smart Cities: Challenges and Innovative Approaches, in IEEE Communications Surveys & Tutorials, vol. 17, no. 1, pp. 125-151, First quarter 2015, doi: 10.1109/COMST.2014.2339817.


Regular Issue Subscription Review Article
Volume 01
Issue 02
Received January 11, 2024
Accepted April 9, 2024
Published April 20, 2024