IEEE

Fuzzy Inference Enabled Deep Reinforcement Learning-Based Traffic Light Control for Intelligent Transportation System

Abstract: Intelligent Transportation System (ITS) has been emerged an important component and widely adopted for the smart city as it overcomes the limitations of the traditional transportation system ...
IEEE

Scalable Timed-Automata Models for Traffic Light Control Systems: Challenges and Solutions in Formal Verification

Abstract: Modeling and verification are crucial in designing traffic light control systems, guaranteeing these systems meet desired operational properties and handle dynamic traffic conditions ...
GitHub

LE-GAN: Unsupervised Low-light Image Enhancement Network using Attention Module and Identity Invariant Loss

This is Paired Normal/Low-light Images (PNLI) dataset and Pytorch implementation of LE-GAN: Unsupervised Low-light Image Enhancement Network using Attention Module and Identity Invariant Loss in ...
GitHub

UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control

Universal Model for Different Intersections: UniTSA uses a junction matrix to characterize different intersections, enabling the same model to be applied to various intersection designs. (a) A 3-way ...