Results 31 to 40 of about 270 (146)

Signal Timing and CAV Trajectory Joint Control Under Mixed Vehicular Environments With Hierarchical Proximal Policy Optimisation

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper introduces SVCC‐HPPO, a novel Signal‐Vehicle Cooperative Control framework using an improved Hierarchical Proximal Policy Optimisation (H‐PPO) algorithm to jointly optimise traffic signal timing and Connected/Autonomous Vehicle (CAV) trajectories in mixed traffic environments.
Zongyuan Wu, Decai Wang, Mengxin Qiu, Gen Li, Wenxuan Li, Yadan Yan   +5 more
wiley   +1 more source

A Survey: Energy Optimisation Approaches in Urban Rail Systems (AI‐Based and Non‐AI‐Based)

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This article presents a systematic review of energy optimisation strategies for urban rail systems, covering speed profile, timetable, regenerative braking, energy storage and power‐supply optimisation. We synthesise methodological trends and reported energy‐saving performance across AI‐based and non‐AI approaches.
Cakra Adipura Wicaksana, Zhongbei Tian, Stuart Hillmansen   +2 more
wiley   +1 more source

Reinforcement Learning in Microgrid Energy Management: Review, Methods and Prospects

IET Smart Grid, Volume 9, Issue 1, January/December 2026.
Extensive comparison of RL and DRL methods has been provided to highlight their application for various energy management systems for microgrid applications. ABSTRACT A rapid integration of distributed energy resources and electrification has increased the need for intelligent energy management in microgrids under grid‐connected and islanded operation.
Muhammad Fahad Zia, Usman Inayat, Muhammad Junaid Anjum, Haris M. Khalid, Sheroze Liaquat   +4 more
wiley   +1 more source

Multi‐Intersection Cooperative Control Platform Framework and Empirical Study in Connected and Automated Vehicle Environment: An Engineering Implementation Perspective

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
With the acceleration of urbanization and rapid growth of vehicle ownership, traffic congestion has become a critical bottleneck constraining sustainable urban development. Traditional traffic signal control methods struggle to adapt to the complex traffic environment where connected and automated vehicles (CAVs) coexist with conventional vehicles ...
Yizhe Wang, Ruifa Luo, Xiaoguang Yang, Yue Qian, Song Hu, Mohammad Rezwan Habib   +5 more
wiley   +1 more source

Real‐Time Tire Tread Identification From Wheel Tracks Using YOLOv11 and Triplet Embedding

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
This paper presents a unified real‐time framework for tire tread identification that integrates tire‐mark detection and tread retrieval into a single end‐to‐end pipeline. Unlike existing studies that directly apply standard YOLO or metric‐learning models, the proposed system introduces three key innovations: (1) a YOLOv11‐based detector customized with
Hoang Tran Manh, Dung Pham Anh, Phat Nguyen Huu, Richard Murray   +3 more
wiley   +1 more source

A Novel QoS‐Aware Service Composition Method for Cloud‐Based Information Systems Based on a Hybrid Deep Learning–Based Algorithm

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Quality‐aware service integration in cloud computing information infrastructures typically refers to selecting a suitable subset of services out of those available in order to fulfill a user’s request, considering multiple quality of service (QoS) metrics like response time, cost, availability, and reliability constraints.
Haoran Hong, C. Zhao, L. Lin, Richard Murray   +3 more
wiley   +1 more source

Catch Laffer If You Can: Tax Take in an Evasion‐Detection Game

Journal of Public Economic Theory, Volume 27, Issue 6, December 2025.
ABSTRACT In a simple taxation framework, we analyze a taxpayer's decision of whether to report income truthfully or engage in an evasion game with the tax agency. Specifically, taxpayer and tax agency can expend efforts, respectively, to conceal income and detect evasion. These activities are costly, and the final outcome—whether evasion is detected or
Rosaria Distefano, Francesco Reito
wiley   +1 more source

On the Nash Equilibria of a Simple Discounted Duel [PDF]

Operations Research and Decisions
We formulate and study a two-player, duel game as a nonzero-sum discounted stochastic game. Players P1, and P2 are standing in place and, in each turn, one or both may shoot at the other player.
Athanasios Kehagias
doaj  

Deep Learning Algorithms for Autonomous Vehicle Communications: Technical Insights and Open Challenges

Concurrency and Computation: Practice and Experience, Volume 37, Issue 21-22, 25 September 2025.
ABSTRACT Autonomous vehicles (AVs) are one of the building blocks of modern intelligent transportation systems and have the potential to change some aspects related to mobility, safety, and operational efficiency. In this paper, we analyze recent progress in AV algorithms and simulation frameworks, emphasizing their roles in decision‐making processes ...
Majd Alkorabi, Alireza Souri, Nihat İnanç   +2 more
wiley   +1 more source

FinRL Contests: Data‐Driven Financial Reinforcement Learning Agents for Stock and Crypto Trading

Artificial Intelligence for Engineering, Volume 1, Issue 1, Page 44-68, 29 September 2025.
FinRL Contests 2023–2025 explore the application of reinforcement learning in financial tasks, which are modelled as the Markov decision process (MDP). Participants specify state, reward and action to train the FinRL agents in stable market environments, advancing the development of RL‐based trading strategies in real‐world financial markets.
Keyi Wang, Nikolaus Holzer, Ziyi Xia, Yupeng Cao, Jiechao Gao, Anwar Walid, Kairong Xiao, Xiao‐Yang Liu Yanglet   +7 more
wiley   +1 more source