1 citations · 1 across the 4 of their papers we have counts for
4 papers
Explainable Reinforcement Learning for Adaptive Traffic Signal Control
Dickens Kwesiga, Nishu Choudhary, Angshuman Guin +1
Reinforcement Learning (RL) has emerged as a powerful paradigm for adaptive traffic signal control. However, in safety-critical infrastructure like traffic control, the opaque, bla…
Adaptive Traffic Signal Control based on Multi-Agent Reinforcement Learning. Case Study on a simulated real-world corridor
Dickness Kakitahi Kwesiga, Angshuman Guin, Michael Hunter
Previous studies that have formulated multi-agent reinforcement learning (RL) algorithms for adaptive traffic signal control have primarily used value-based RL methods. However, re…
Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
Dickness Kakitahi Kwesiga, Suyash Chandra Vishnoi, Angshuman Guin +1
This study integrates Transit Signal Priority (TSP) into multi-agent reinforcement learning (MARL) based traffic signal control. The first part of the study develops adaptive signa…
Adaptive Transit Signal Priority based on Deep Reinforcement Learning and Connected Vehicles in a Traffic Microsimulation Environment
Dickness Kwesiga, Angshuman Guin, Michael Hunter
Model free reinforcement learning (RL) provides a potential alternative to earlier formulations of adaptive transit signal priority (TSP) algorithms based on mathematical programmi…