August 15, 2025Open Access

Investigation of Road Transport-Based Greenhouse Gas Prediction Models and the Use of Intelligent Transportation Systems for Emission Reduction

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Analysis reveals pathways for emission reduction through AI models and intelligent transportation systems for road transport.

Predictive modeling shows that AI-based techniques can enhance the accuracy of greenhouse gas emissions estimates and support traffic management strategies for reduction.
Results indicate that ANFIS outperforms earlier COPERT 4 assessments, demonstrating improved adaptability to environmental factors and vehicle data.
This assessment utilized two advanced techniques—ANFIS and artificial neural networks—to analyze emissions from both light and heavy vehicles in Kocaeli Province.
The findings suggest that implementing intelligent transportation systems holds significant potential for effective climate change adaptation and mitigation efforts.

Beba et al. (2025) studied this question.

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