This repository offers code to repeat experiments and reuse the method in the study "Inferring vehicle spacing in urban traffic from trajectory data".
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Updated
Sep 15, 2025 - Jupyter Notebook
This repository offers code to repeat experiments and reuse the method in the study "Inferring vehicle spacing in urban traffic from trajectory data".
An urban traffic web simulator that uses data in real time
This model applies SARSA reinforcement learning for efficient urban traffic and pedestrian management, incorporating simulation, algorithmic implementation, and evaluation to enhance safety and reduce congestion.
🧠 Deep RL framework for urban traffic signal optimization and spillback mitigation using SUMO
Simulador de tráfego urbano desenvolvido em C utilizando pthreads.
Traffic Density Detection in Cities🚘
Event-aware urban traffic flow prediction using multi-source big data, machine learning, weather and event data, with model evaluation and Tableau visualisation.
Traffic Anomaly Detection in Cities🚘
An Excel project analyzing road accidents. It shows that daily city traffic is actually riskier than extreme weather. I used weighted scoring and a prioritization matrix to turn data into clear insights using a professional dashboard.
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