Decentralized Deep Reinforcement Learning based Real-World Applicable Traffic Signal Optimization
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Jul 4, 2021 - Python
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traffic-optimization
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dITC through RL Code Foundation
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Apr 9, 2021 - Python
🚦 Next-generation AI Traffic Management System with real-time computer vision, reinforcement learning optimization, emergency vehicle detection, and immersive 3D visualization
python opencv webgl machine-learning reinforcement-learning computer-vision urban-planning artificial-intelligence yolo smart-cities real-time-analytics 3d-visualization traffic-management traffic-optimization flask-dashboard intelligent-transportation ppo-algorithm unity-integration emergency-detection sumo-simulation
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Oct 14, 2025 - Python
A novel integration of Large Language Models, Graph Neural Networks, and Reinforcement Learning for intelligent network traffic prediction and adaptive routing optimization. Demonstrates 42.3% throughput improvement and effective multi-objective optimization.
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Oct 18, 2025 - Python
SUMO
python smart-city traffic-optimization urban-mobility real-time-traffic traffic-light-control sumo-simulation emergency-routing vehicle-prioritization transportation-ai
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Jul 20, 2025 - Python
SynapticGrid is an AI-driven system designed to make cities more efficient, sustainable, and livable by optimizing smart energy grids, waste management, and traffic flow through IoT sensors, real-time data processing, and reinforcement learning algorithms. The modular platform continuously learns and improves, helping urban environments
iot machine-learning reinforcement-learning-algorithms smart-grids real-time-data smart-cities smart-mobility traffic-optimization energy-management data-driven-insights waste-management energy-prediction sustainable-technology ai-for-sustainability urban-innovation
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Apr 3, 2025 - Python
An open-source Python implementation and evaluation of the Priority Bidding Mechanism (PBM) for adaptive traffic signal control. This is an active collaboration between the Illinois Mathematics and Science Academy and Southern Illinois University, Carbondale.
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Jun 17, 2025 - Python
AI-powered Smart Traffic Management System built with Kotlin Multiplatform. Real-time traffic monitoring, adaptive signal control, and emergency vehicle prioritization across Android, iOS, Desktop, and Server platforms.
android ios machine-learning computer-vision server desktop traffic-monitoring traffic-control traffic-management ktor smart-traffic-system traffic-optimization kmp kotlin-multiplatform swiftui jetpack-compose intelligent-transportation compose-multiplatform adaptive-signals
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Dec 3, 2025 - Kotlin
Analysis of modern network protocols designed to maintain data integrity and availability in adversarial environments.
network-analysis adversarial-networks scientific-research traffic-optimization network-resilience traffic-obfuscation evasion-techniques security-threat-model computer-network-privacy
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May 11, 2025
This project uses reinforcement learning to optimize traffic signals, reducing congestion and improving flow through dynamic adjustments and simulation analysis.
python automation reinforcement-learning sumo deeplearning intelligent-systems traffic-simulation traffic-optimization smart-traffic
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Sep 29, 2025 - Python
A Traffic Optimization system in C++ using a rudimentary ant colony optimization technique.
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Feb 23, 2016 - C++
a prototype dashboard interface for the EV management via traffic and battery SoC, SoH optimisation
sustainability optimization quantum-computing electric-vehicles optimisation route-optimization quantum-annealing traffic-optimization qubo quantum-artificial-intelligence
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Dec 8, 2025 - HTML
DeepTrafficQ is a reinforcement learning-based traffic signal control system that uses Deep Q-Networks (DQN) to minimize vehicle waiting times at a 4-way intersection. By leveraging Q-learning with experience replay and a convolutional neural network (CNN), the agent dynamically adjusts traffic light phases to optimize traffic flow.
reinforcement-learning q-learning cnn sumo convolutional-neural-networks deep-q-network cnn-keras smart-cities smart-mobility traffic-optimization experience-replay adaptive-traffic-light-control traffic-signal-control intelligent-transportation q-learning-algorithm iot-traffic-surveillance dqn-agent intelligent-transportation-system
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Jun 29, 2025 - C
An intelligent traffic optimization system using Deep Reinforcement Learning (DQN & Actor-Critic) to control vehicle speed and lane changes for improved traffic flow and safety.
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Mar 31, 2025 - Jupyter Notebook
Traffic signal timing optimization using queueing theory (M/M/1, M/G/1) and metaheuristic algorithms (PSO, ACO). Discrete-event simulation of traffic networks with Python/SimPy. Master's dissertation project.
python ant-colony-optimization particle-swarm-optimization queueing-theory simpy traffic-simulation traffic-optimization
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Dec 30, 2025 - Python
A centralized deep reinforcement learning framework for adaptive urban traffic signal control, leveraging simulation-based environments to minimize congestion and optimize traffic flow.
python machine-learning reinforcement-learning deep-learning deep-reinforcement-learning traffic-optimization traffic-signal-control centralized-control sumo-simulation simulation-based-learning
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Dec 20, 2025 - Python
This project aims to reduce traffic congestion at the Sadahalli toll gate using Queuing Theory and Linear Programming. By analyzing traffic flow and optimizing lane allocation, it successfully cuts down waiting time and improves toll booth efficiency.
data-science transportation linear-programming bengaluru queuing-theory traffic-optimization toll-booth fastag sadahalli
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Nov 13, 2025
Network Dynamics and Learning — Coursework and projects exploring network theory, optimization, and learning on graphs. Includes Jupyter notebooks with simulations, analysis, and visualizations using Python
network-flow game-theory random-walk graph-coloring opinion-dynamics traffic-optimization epidemic-modelling
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Feb 9, 2025 - Jupyter Notebook
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