Traffic Optimization and Route Detection Based on Air Quality and Pollution Level

Title

Traffic Optimization and Route Detection Based on Air Quality and Pollution Level

Creator

Sarkar B.; Mukherjee D.; Mukherjee J.; Sinha S.

Description

This research outlines the development of a groundbreaking Traffic Optimization and Route Detection system based on pollution and air quality. Urbanization has led to increased vehicular traffic, exacerbating concerns about air pollution and its adverse effects on public health. The proposed system aims to address this critical issue by integrating real-time environmental data into route recommendations, prioritizing routes that minimize exposure to high-pollution areas. Beyond improving air quality, the system promotes the health and well-being of commuters, encourages the adoption of eco-friendly transportation modes, and contributes to overall environmental sustainability. An air quality detection system is developed to gather data for the development of the system. This innovative approach aligns with the goals of efficient urban mobility, sustainable transportation, and data-driven decision-making. Through this research, we anticipate providing valuable insights into the potential impact of integrating pollution and air quality considerations into urban transportation systems, ultimately contributing to healthier and more sustainable urban environments. 2024 IEEE.

Source

Proceedings - 2024 13th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2024, pp. 1203-1208.

Date

2024-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

AQI Monitoring; Eco-friendly Transportation; Environmental Data Integration; IoT; Route Detection; Sustainable Transportation; Urban Mobility

Coverage

Sarkar B., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Mukherjee D., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Mukherjee J., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Sinha S., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 979-835030546-3

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/CSNT60213.2024.10545817

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196766298&doi=10.1109%2fCSNT60213.2024.10545817&partnerID=40&md5=3935d5ad3b883b1aa55d95670a13632d