Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

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A Sustainable Traffic Management System for Smart Cities

Authors
Arpit Kumar Bhatt1, *, Deepanshu Goyal1, Susham Biswas1
1Department of Computer Science and Engineering, Rajiv Gandhi Institute of Petroleum Technology Jais, Amethi, Uttar Pradesh, India
*Corresponding author. Email: arpitkb@rgipt.ac.in
Corresponding Author
Arpit Kumar Bhatt
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_69How to use a DOI?
Keywords
Lidar; Sustainable; Simulation; Sensor; Blender; Smart Cities; Traffic Management
Abstract

Rapid vehicle growth has generated a variety of problems for traffic management administrations in terms of traffic congestion, pothole, air pollution, accidents, and rut formation. This is due to the expanding size of cities and rising population mobility. This aim of this research to develop a sustainable and economical smart Traffic management system, which provide social and sustainable development using technology to provide an economical solution. Traffic speed can be predicted considering the pavement condition of the road using simulation. This study provides us a sustainable and economical procedure for traffic management system in smart cities. We have performed this research work using blender for simulation and modeling in which we have used a lidar sensor and raspberry pi4 to get the data and transferred it to the laptop using a SQL server. This system helps straightforward, practical, and reasonably priced technology to reduce the amount of human labor required to locate potholes, which will reduce accidents brought on by traffic jam conditions.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
978-94-6463-136-4
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_69How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Arpit Kumar Bhatt
AU  - Deepanshu Goyal
AU  - Susham Biswas
PY  - 2023
DA  - 2023/05/01
TI  - A Sustainable Traffic Management System for Smart Cities
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 792
EP  - 801
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_69
DO  - 10.2991/978-94-6463-136-4_69
ID  - Bhatt2023
ER  -