Genius Olympiad 2026 • Project ID 7458

School Transport Plus

Elevating School Transit, All in One Place

School Transport Plus is a data-driven IoT transportation management platform designed to improve school commuting through RFID identification, GPS tracking, real-time notifications, and centralized administration.

Prototype

Introduction

School transportation plays a critical role in helping parents send students to school safely while reducing traffic congestion around campuses. School Transport Plus was developed to transform traditional school transportation into a smart, measurable, and efficient ecosystem.

RFID Student Identification
Real-Time GPS Tracking
LINE Notification System
Centralized Management Dashboard
Data Analytics & Environmental Monitoring

Our goal is to create a one-stop-service transportation platform that builds trust between schools, parents, and transportation providers.

Problem Statement

Large urban schools face several transportation challenges:

Peak-hour traffic congestion
Manual attendance tracking
Lack of real-time vehicle visibility
Communication delays between schools and parents
Excess fuel consumption and carbon emissions

Case Study: Assumption College Thonburi

• More than 4,500 students
• High vehicle density during peak hours
• Significant traffic bottlenecks during drop-off and pick-up periods

Objectives

1Improve transportation efficiency.
2Enhance student safety.
3Provide real-time visibility for parents.
4Reduce administrative workload.
5Collect transportation data for decision making.
6Measure environmental impact through data analytics.

Key Features

RFID Student Identification

Students tap their RFID cards when boarding the vehicle for accurate attendance recording, instant status updates, and reduced human error.

GPS Vehicle Tracking

Real-time location tracking enables parent monitoring, vehicle route visibility, and accurate arrival estimation.

LINE Notifications

Automatic notifications are sent when a student boards the vehicle, arrives at school, leaves school, and arrives home.

Management Dashboard

Administrators monitor vehicle locations, student status, travel logs, driver activity, and historical transportation data.

Data Analytics

The system collects boarding records, travel distance, vehicle utilization, and peak-hour trends to support future planning.

Technology Stack

Frontend

Next.js

Backend

Next.js API Routes
Server-side Data Processing

Database

Neon PostgreSQL
Prisma ORM

IoT Hardware

Arduino UNO R4 WiFi
RFID Reader Module

Results

25,200 RFID boarding records
20-day traffic observation period
Multiple-day repeated measurements

System Performance

99.85%

RFID Accuracy

False Positive Rate

0.35%

Packet Loss Rate

99.2%

System Uptime

Environmental Impact

-67.7%

Vehicle Reduction

-29.2%

Congestion Index Reduction

880 vehicles/day

Daily Vehicle Reduction

675.84 kg CO₂/day

Daily CO₂ Reduction

135.17 tons CO₂/year

Annual CO₂ Reduction

Environmental impact model: ΔCO₂ = ΔVehicles × Distance × Emission Factor (0.192 kg CO₂ / km). Reference: IPCC Guidelines for National Greenhouse Gas Inventories (2006).

Scalability

Private Schools
Public Schools
Employee Transportation
Logistics Operations
Smart City Mobility Systems

Conclusion

School Transport Plus demonstrates that a data-driven IoT transportation framework can significantly improve school transportation management through RFID identification, GPS tracking, cloud-based analytics, and automated notifications.

Increased student safety
Improved transportation efficiency
Reduced administrative workload
Data-driven operational planning
Measurable environmental benefits

Developed By

Poonyapat Goonmanoon
Nattasit Manapiyawong

Project Advisor

Phitchaphorn Prayoon-Anutep

"Transforming School Commuting into a Measurable Environmental System"