Bilkent University Senior Design Project 2025

E-Way

Intelligent route planning system for electric vehicles with AI-powered charging station occupancy prediction

About the Project

What is E-Way?

E-Way is an intelligent route planning system designed to address range anxiety and optimize travel efficiency for Electric Vehicle users in Türkiye. The system predicts charging station occupancy using AI models and generates smart routes based on these predictions, integrating real-time data from EPDK EV Charging Network.

Technologies Used

FlutterFastAPIMongoDBPythonGoogle Maps APIMachine LearningREST APIMongoDB Atlas

Project Goals

1
Predict charging station occupancy using AI models trained on historical data from EPDK
2
Generate smart routes that avoid congested stations and minimize total travel time
3
Provide detailed station information including socket types, power levels, and operator details
4
Recommend nearby amenities such as cafés, markets, and rest zones based on user preferences
5
Reduce range anxiety for EV drivers through intelligent, data-driven planning
6
Support cross-platform availability through Flutter mobile application (Android & iOS)

Our Team

The dedicated team behind E-Way

Project Advisors

SÖÖ

Salih Özgür Öğüz

Project Supervisor

Mert Bıçakçı

Course Instructor

Development Team

Utku Yüksel

Student ID: 22103511

Developer

FÖ

Furkan Özek

Student ID: 22103680

Developer

HVT

Halis Vefa Türkyılmaz

Student ID: 22102898

Developer

AÜ

Aziz Üzümcü

Student ID: 22102800

Developer