Book Chapter

·2026

Predictive Modeling of Vehicle Emissions Using Deep Learning Techniques and AERMOD

Elif Yavuz YTU , Alihan Öztürk YTU , Nedime Gaye Nur Balkanlı YTU , Şeref Naci Engin YTU , S. Levent Kuzu YTU

Springer proceedings in complexity

No open-access abstract is available for this article. Use the DOI link on the right to read the full text.

Keywords

AERMOD Deep learning Air quality index Vehicle tracking system Traverse sort Sorting Engineering Real-time computing

Subject Areas

Vehicle emissions and performance ·Automotive Engineering ·Physical Sciences
Air Quality Monitoring and Forecasting ·Environmental Engineering ·Physical Sciences
Air Quality and Health Impacts ·Health, Toxicology and Mutagenesis ·Physical Sciences

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Industry, innovation and infrastructure 67%