An Approach for Modelling Vehicular Pollution Using Artificial Neural Networks

Author:

Gupta Naina,Ram Sewa

Publisher

Springer Nature Singapore

Reference34 articles.

1. UN Environment Programme: Emissions Gap Report. UNEP (2019). https://www.unep.org/resources/emissions-gap-report-2019

2. Kamboj P et al (2022) India transport energy outlook. CEEW. https://www.ceew.in/publications/india-transport-energy-use-carbon-emissions-and-decarbonisation

3. IQAir (2021). https://www.iqair.com/world-most-polluted-cities/world-air-quality-report-2021-en.pdf

4. Gupta N, Ram S, Sudagani BG (2023) Environmental capacity of roads under mixed traffic conditions. In: Devi L, Errampalli M, Maji A, Ramadurai G (eds) Proceedings of the sixth international conference of transportation research group of India. CTRG 2021. Lecture notes in civil engineering, vol 273. Springer, Singapore. https://doi.org/10.1007/978-981-19-4204-4_6

5. Gupta N, Ram S (2023) Effects of traffic on particulate matter (PM2.5) in different built. Nat Environ Pollut Technol 22(2):887–894. https://doi.org/10.46488/NEPT.2023.v22i02.031

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