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The effectiveness of emergency responses has a critical role in providing fast and reliable fire services. Especially in heavy urban traffic, fire trucks must reach fire scenes quickly and safely for life-saving interventions. This study presents a literature review of a simulation project that uses the Unity game engine and applies reinforcement learning (RL) techniques. The simulation focuses on the adaptive and rational response of fire trucks to various dynamics in traffic. It focuses on how these vehicles can effectively navigate in traffic.
| Team Members | Student Numbers | Github |
|---|---|---|
| Ceren ERDOĞAN | 201911401 | cernerdgn |
| Şeyma SERT | 201911055 | seymasert |
| Esra YALÇIN | 201911069 | esrayalcin |
| Ömer Faruk YILDIRIM | 202011062 | ylScarred |
| Efekan KARAKOÇ | 201911208 | Efekandev |