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On-demand route allocation: A smart transportation scheme

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Md Shadman Sakib Showrov 1, Md Riaz Ahmad Shuvo 2, *, Mohammad Yeasin Newaj Khan 2, Akash Das 2, Muhtasim Rafid 2 and Tanmoy Das 2

1 Department of Electrical and Electronics Engineering, Bangladesh University of Engineering and Technology, West Palashi Campus, Dhaka 1205, Bangladesh.
2 Department of Electrical and Electronics Engineering, Canadian University of Bangladesh, Merul Badda, Dhaka 1212, Bangladesh.

Review Article
 
International Journal of Science and Research Archive, 2023, 10(01), 113–118.
Article DOI: 10.30574/ijsra.2023.10.1.0717
DOI url: https://doi.org/10.30574/ijsra.2023.10.1.0717

Received on 26 July 2023; revised on 03 September 2023; accepted on 06 September 2023

For effective crowd mobility, smart cities must have smart transportation. Smart cities need a transportation system that is intelligent, simple, and effective. Here is a creative idea for modernizing the current public transit system. Hardware modules based on the Internet of Things (IoT) that are required for implementation are discussed in this work. Traffic circumstances and extra elements have been added to Dijkstra’s shortest path method. The proposed algorithm has been tested in a number of circumstances, and the outcomes have been displayed accordingly. At a cheaper cost, the suggested solution can upgrade the current infrastructure. With various request counts, the algorithm performs well.

Smart Transportation; IoT; Route Allocation; Public Transit System; Smart City

https://ijsra.co.in/sites/default/files/fulltext_pdf/IJSRA-2023-0717.pdf

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Md Shadman Sakib Showrov, Md Riaz Ahmad Shuvo, Mohammad Yeasin Newaj Khan, Akash Das, Muhtasim Rafid and Tanmoy Das. On-demand route allocation: A smart transportation scheme. International Journal of Science and Research Archive, 2023, 10(01), 113–118. Article DOI: https://doi.org/10.30574/ijsra.2023.10.1.0717

Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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