Design and development of a vehicular digital twin for solving pollution episodes
Tutor/a - Director/a
Llagostera Brugarola, Eudald
Estudiant
Victorio Vergel, Carla
Tipus de document
Treball Final de Grau
Data
2025
rights
Accés restringit per acord de confidencialitat
Editorial
Universitat Politècnica de Catalunya
Titulacions
UPCommons
Resum
This Bachelor's thesis develops a vehicular pollution Digital Twin within the 6GTWINROAD-SP4 initiative at i2CAT, focusing on the interurban use case for the C-32 highway. The system aims to mitigate pollution episodes by simulating different strategies and selecting the most effective one. The pollution Digital Twin is based on i2CAT's congestion use case Digital Twin and integrates COPERT, an emissions estimation software, for pollution calculation. Traffic simulations are performed in Aimsun Next, modifying speed limits (120-50 km/h) in specific sections to analyze their impact on pollution. A decision module evaluates these strategies, selecting the one that minimizes emissions while maintaining traffic efficiency. Results indicate that reducing speed limits to 70 and 80 km/h effectively lowers pollution in the scenarios tested in this thesis. This approach has also been applied to the final implementation of 6GTWINROAD-SP4's Digital Twin, a system that detects congestion and pollution incidents on the C-32 highway and provides real-time recommendations to the AWAI application users. A validation phase, testing 100 incident warnings for congestion and pollution, confirmed the system's effectiveness. On average, emissions of the monitored pollutants were reduced by 4.31% (CO), 1.53% (NOx), and 2.19% (PM2.5). Additionally, a comparison between COPERT and PHEMlight was conducted. While COPERT, based on average speed, underestimates emissions in traffic disruptions, PHEMlight, using vehicle trajectories, captures stop-and-go conditions, leading to more accurate pollution estimates. This highlights PHEMlight's suitability for real-time applications, especially for future implementations of the 6GTWINROAD-SP4's Digital Twin.
Entitat col·laboradora
I2CAT Foundation
Professorat participant
- Llagostera Brugarola, Eudald