Rota Verde: App for Monitoring CO2 Footprint in Urban Displacements

Rota Verde: App for Monitoring CO2 Footprint in Urban Displacements

by Rafael Oliveira dos Santos

Applied Sciences & Engineering Engineering & Technology TQEnvironmental science, engineering and technologyTQPGreenhouse gas emissions technologies
🎙 Rafael Oliveira dos Santos 👥 305 📅 August 26, 2025 ⏱ 13 min 👁 51 📄 original study 🧭 2026-08-17
Available in: English (current) Français

Keywords

CO2 emissionsurban mobilitymobile applicationINMETROProject-Based Learning

Summary

Rafael Oliveira dos Santos presents the Rota Verde app, developed as part of an electrical engineering course at the Federal University of Paraíba (UFPB) using Project-Based Learning. The app estimates CO2 emissions for urban trips based on distance and vehicle-specific emission factors from INMETRO data, integrated with Google Maps routes. Users can log in, register vehicles, select routes, and view emission histories. The presentation covers the app’s interface, data sources, and potential applications for public policy and smart cities. The project was showcased at Mobility Summit 2025 and recognized by FAPESQ. Limitations include lack of uncertainty analysis and validation studies. The work serves as a foundation for future expansions, including tracking platforms and policy integration.

115 words

Critical Evaluation

Value of the Information & Strength of the Argument

The presentation provides a clear rationale for the app’s development, linking it to environmental concerns and the need for awareness. The methodology is straightforward: multiplying distance by emission factors. The argumentation is coherent, but the presentation lacks critical analysis of the accuracy of the emission estimates and the app’s effectiveness in changing behavior. The value lies in its educational context and potential for future development, but it does not offer novel scientific insights.

Scientific Rigor, Source Quality, Title Accuracy

The project uses official INMETRO data, which is a reliable source for vehicle emissions in Brazil. The presentation mentions references but does not provide specific citations. The title accurately reflects the content. The work is a student project, so the scientific rigor is limited by the scope and lack of peer review. The description includes a link to a FAPESQ article, which adds some credibility.

153 words

Title / Content Match

The title accurately reflects the content, which focuses on the development of an app for monitoring CO2 emissions in urban travel.

Quality & Reliability

6/10

The presentation describes a student project with a clear methodology and use of official data (INMETRO), but lacks peer review and detailed validation. The claims are plausible but not independently verified.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

Concurring Sources

Contribution & Novelties

The app provides a practical tool for individuals to estimate their carbon footprint from urban travel, using official data. Its novelty lies in its integration of INMETRO data with Google Maps and its educational context. The project demonstrates how engineering students can apply their skills to sustainability challenges.

Pour aller plus loin :

  • Carbon footprint — Provides background on the concept.
  • Project-Based Learning — Educational approach used in the project.
  • INMETRO — Official Brazilian metrology institute, source of emission data.

80 words

Radar Profile

The radar profile shows moderate scores across all dimensions, indicating a balanced but not exceptional presentation. The app's practical application and use of official data are strengths, but the lack of validation and limited novelty keep the overall score moderate.

Reliability 6/10