To address the shortcomings of traditional Genetic Algorithm (GA) in multi-agent path planning, such as prolonged planning time, slow convergence, and solution instability, this paper proposes an Asynchronous Genetic ...
sponsored by Qinglan Project of Jiangsu Province,and Jiangsu Provincial Key Research and Development Program(No.BE2020084-1).
Opportunistic mobile crowdsensing(MCS)non-intrusively exploits human mobility trajectories,and the participants’smart devices as sensors have become promising paradigms for various urban data acquisition tasks.Howeve...
supported by National Natural Science Foundation of China:[Grant Number 61763028];“Innovation Star”Project for Outstanding Graduate Students in Gansu Province:[Grant Number 2021CXZX-515].
Multi-agent Reinforcement Learning(MARL)has become one of the best methods in Adaptive Traffic Signal Control(ATSC).Traffic flow is a very regular traffic volume,which is highly critical to signal control policy.Howev...
supported by Future Network Scientific Research Fund Project (FNSRFP-2021-ZD-4);National Natural Science Foundation of China (No.61991404,61902182);National Key Research and Development Program of China under Grant 2020YFB1600104;Key Research and Development Plan of Jiangsu Province under Grant BE2020084-2。
With the rapid development of Intelligent Transportation Systems(ITS),many new applications for Intelligent Connected Vehicles(ICVs)have sprung up.In order to tackle the conflict between delay-sensitive applications a...
funded by the National Key Research and Development Program of China under Grant 2019YFB1803301;Beijing Natural Science Foundation (L202002)。
Cybertwin-enabled 6th Generation(6G)network is envisioned to support artificial intelligence-native management to meet changing demands of 6G applications.Multi-Agent Deep Reinforcement Learning(MADRL)technologies dri...
funded in part by the National Key Research and Development of China Project (2020YFB1807204);in part by National Natural Science Foundation of China (U2001213 and 61971191);in part by the Beijing Natural Science Foundation under Grant L201011;in part by the key project of Natural Science Foundation of Jiangxi Province (20202ACBL202006)。
In Heterogeneous Vehicle-to-Everything Networks(HVNs),multiple users such as vehicles and handheld devices and infrastructure can communicate with each other to obtain more advanced services.However,the increasing num...
This paper proposes an IoT-Fog-Cloud distributed consensus algorithm for solving the energy hub(EH)dispatch problem with packet-dropping communication links and some of EH elements'uncertainties.Every generating and c...
supported in part by the National Natural Science Foundation of China under Grant 62171104;the National Key Research and Development Program of China under Grant 2018YFE0117500;the Key Lab of Information Network Security under Grant C19603;in part by the EU H2020 Project COSAFE(MSCA-RISE-2018-824019)。
The Internet of Vehicles(Io V)has great potential for Intelligent Transportation Systems(ITS),enabling interactive vehicle applications,such as advanced driving and infotainment.It is crucial to ensure the reliability...
Data analysis tasks aim to provide insightful analysis for given data by incorporating background knowledge of the represented phenomenon, which in turn supports decision-making. While existing large language models(L...