University Graduation Project 2025

E-way

Smart route planning for electric vehicles with real-time charging station data and intelligent availability prediction

About the Project

What is E-way?

E-way is a smart route planning application designed specifically for electric vehicle users. It generates efficient routes based on user preferences, integrates real-time charging station data, predicts availability, and recommends nearby amenities to enhance the EV driving experience.

Technologies Used

React NativeNode.jsPostgreSQLGoogle Maps APIMachine LearningREST APIFirebaseTypeScript

Project Goals

1
Provide optimal route planning for electric vehicles based on battery range and charging needs
2
Integrate real-time data from charging stations to show availability and status
3
Predict charging station availability using machine learning algorithms
4
Recommend nearby amenities (restaurants, cafes, shopping) during charging stops
5
Reduce range anxiety for EV drivers through intelligent planning
6
Contribute to sustainable transportation by making EV usage more convenient

Our Team

The dedicated team behind E-way

Project Advisors

ÖS

Özgür Salih Öğüz

Project Supervisor

Alper Sarıkan

Innovation Expert

Development Team

HUY

Hüseyin Utku Yüksel

Student ID: 22103511

Developer

FÖ

Furkan Özek

Student ID: 22103680

Developer

AÜ

Aziz Üzümcü

Student ID: 22102800

Developer

HVT

Halis Vefa Türkyılmaz

Student ID: 22102898

Developer