C1G5_FirstTry

CHIN WEN HUI — Team Lead, Full-Stack Developer KO JIA HUI — Full-Stack Developer CHAN JIA SHENG — Full-Stack Developer

Project Info Project Title: Smart Transport Energy Use Project Background: Transportation is one of the major contributors to carbon emissions in Malaysia, especially private cars. Carpooling can significantly reduce emissions, but most carpool platforms do not track the actual environmental impact. Because of this, users, regulators, and operators cannot accurately measure how much carbon is reduced through shared rides.

This project aims to create a digital system that monitors carpool vehicle usage and calculates real-time carbon emissions based on distance travelled, fuel consumption, and travel patterns. The system also provides a dashboard for visualizing energy usage, CO₂ output, anomalies, and overall vehicle health.

Problem Statement 1. Carpool drivers and users have no clear data on how much carbon they produce or save. 2. Malaysia lacks an accessible platform that provides real-time carbon monitoring for carpool vehicles. 3. Existing transport dashboards do not integrate energy usage, CO₂ levels, and anomaly detection in one central system. 4. Fleet managers cannot identify abnormal fuel usage or vehicle inefficiencies without proper analytics.

Project Aim To develop a smart monitoring system that tracks carpool vehicle performance and calculates carbon emissions to promote sustainable transportation in Malaysia.

Objectives 1. To collect real-time vehicle data such as distance, fuel usage, energy consumption, and trip frequency. 2. To calculate CO₂ emissions using Malaysian transport emission factors. 3. To display data through a web dashboard using charts, indicators, and summary cards. 4. To detect anomalies such as unusual consumption, excessive CO₂, or abnormal travel patterns. 5. To support sustainability goals by encouraging users to reduce carbon emissions.

Scope of the Project • The system focuses on carpool vehicles only (private car-sharing). • The dashboard is built using React/TypeScript. • Features include: • Trip distance tracking • Real-time CO₂ emission calculation • Energy usage monitoring • Vehicle health indicator • Anomaly detection • Data visualization (charts & tables) • Data is intended for use in Malaysia and uses local emission conversion factors.

Target Users • Carpool drivers • Carpool platform operators • Fleet managers • Environmental researchers / sustainability departments • Government agencies (e.g., JPJ, MOT)

Tools & Technologies Used • Frontend: React, TypeScript, Tailwind CSS • Backend: Node.js / Laravel (based on your project) • Database: MySQL / PostgreSQL • Visualization: Chart.js / Recharts • APIs: Emission factor formulas, GPS data, vehicle logs

Expected Outcome • A functional dashboard that displays accurate carbon emission data. • An efficient monitoring tool to identify fuel waste and improve transport efficiency. • Increased awareness of carbon footprint among carpool users. • Support for Malaysia’s sustainability initiatives such as Low Carbon Mobility Blueprint (LCMB).

Project Idea Energy-Smart Carpool Optimizer A web platform that uses AI + IoT-style data + weather insights to optimize fuel usage, CO₂ emissions & vehicle performance for carpool and demand-responsive transport fleets.

System uses Laravel (backend API), Inertia.js (SPA front-end), OSRM routing, and WeatherAPI.