Optimization • Electric Vehicle Routing • Full-Stack Development
I'm passionate about solving complex Vehicle Routing Problems using metaheuristic optimization techniques and machine learning. My work focuses on building intelligent systems for electric vehicle fleet management, real-time logistics, and urban delivery optimization.
- Vehicle Routing Problems (VRP, EVRP, CEVRPTW, Dynamic VRP)
- Metaheuristic Optimization (ALNS, LNS, Heuristics)
- Machine Learning & Deep Learning
- Fleet Management Systems
- Routing Markup Language (RML), XML/XSD Design
- Real-Time Logistics & Simulation (SUMO, Event-Driven Routing)
📄 You can explore my portfolio & projects here: https://yasin-unal.super.site/
- 🚀 Coming Soon → Real-Time Routing with Electric Vehicle Fleets in Urban Logistics
- 📄 Real-Time Routing with Vehicle Failure and Traffic Awareness in Last-Mile Delivery - Ünal, Y., Polat, A. A., Sarıçiçek, İ., Bozkurt Keser, S., Akalın, K. B., & Yazıcı, A. (2025), Engineering and Applied Science Letters (EASL), 2025
- 📄 Electric Vehicle Routing with Time Windows and Charging Stations from the Perspective of Customer Satisfaction - Ünal, Y., Sarıçiçek, İ., Bozkurt Keser, S., & Yazıcı, A. (2025), Applied Sciences, 2025
- 📄 Adaptive Large Neighborhood Search Approach for Electric Vehicle Routing Problem Ünal, Y., Sarıçiçek, İ., Bozkurt Keser, S., & Yazıcı, A. (2024). - Ünal, Y., Sarıçiçek, İ., Bozkurt Keser, S., & Yazıcı, A. (2025), TOK Conference, 2024
- ⚡ Electric Vehicle Routing Engine / Cloud (ALNS + real-time event handling)
- 🚚 SUMO → Streamlit Live Delivery Simulation
- 🗺️ Routing Markup Language (RML) Tools (validator, converter, visualizer)
- 🧩 Enterprise Fleet Management System (Admin / Driver / Customer apps)
- 🔬 ML pipelines for anomaly detection
A collection of interactive Streamlit applications for routing, traffic analysis, EVRP visualization, and geo-analytics. Includes tools for traffic flow exploration, map-based routing, dynamic request simulations, and more.
Tech Stack: Routing Streamlit Visualizing Monitoring Map
Advanced routing optimization system using Adaptive Large Neighborhood Search (ALNS) for electric vehicle fleets with charging station integration.
Tech Stack: Python ALNS OpenStreetMap Streamlit
Comprehensive toolkit for validating, converting, and visualizing routing data in RML format.
Tech Stack: Python XML/XSD React D3.js
- LinkedIn: Yasin Ünal
- Email: [email protected]
- ResearchGate: Yasin Unal
- YouTube: Yasin Unal
⭐️ From Pilestin