Computers & Industrial Engineering
特刊征稿
由中国岩石力学与工程学会地下空间分会理事长陈志龙教授、
东京理科大学Mitsuo Gen教授领衔
在JCR中科院一区期刊CAIE
客座主编的特刊
诚邀广大学者投稿！
特刊主题&特刊背景
特刊主题：AI-based Approaches for Intelligent Transportation and Underground Logistics Systems
特刊背景：
An Intelligent Transportation System (ITS) aims to provide innovative services for different modes of transportation, enabling customers to be better informed, and fostering safer, smarter, and more coordinated transportation networks. The Underground Logistics System (ULS) is recognized as one of the green, energy-saving and efficient new modes of transportation. In order to develop an efficient and effective transportation/logistics system, AI-based approaches based on Computational Intelligence (CI) and Machine Learning (ML) should be considered.
Intelligent Transportation System refers to improving the intelligence and automation of the entire transportation system. This involves improving the system's ability for analysis, decision-making and intelligent execution through the integration of intelligent hardware and techniques, such as the Internet of Things (IoT) and Big Data mining. The Underground Logistics System is a typical model of ITS. It takes advantage of underground space by using tunnels or special large-diameter passages to connect underground stations and terminals for cargo transportation. Automatic controlling methods are essential in the ULS to ensure stable, large-scale, efficient and green 24-hour transportation activities. The ULS can be used as high-speed transport channels within or among major industrial areas, logistics distribution centers, cargo hubs, airports, railway stations and port terminals.
客座编辑
Dr. ZhiLong Chen
Prof., the Director of the Underground Space Branch of the Chinese Society for Rock Mechanics & Engineering,China
chen-zl@vip.163.com
Dr. Mitsuo Gen
Visiting Prof., Research Institute of Science & Technology, Tokyo University of Science, Japan
gen@rs.tus.ac.jp
Dr. John R. Cheng
Research Scientist, Broad Geophysical Technology, Inc., Houston, TX, USA
runweicheng@gmail.com
Dr. ChengJi Liang
Prof., Institute of Logistics Science & Engineering, Shanghai Maritime University, China
liangcj@shmtu.edu.cn
Dr. JianJun Dong
Prof., School of Safety Science and Engineering, Nanjing University of Science and Technology, China
dongjj@njust.edu.cn
热点话题
主题
Machine Learning (ML) Algorithms
Agent-based Simulation (AS)
Intelligent Logistics & Supply Chain Management (SCM) Networks
Big Data Analytics & Data Mining
Container Systems & AGV Scheduling by CI/ML/AS
Automation in Transportation & Logistics by CI/ML/AS
Intelligent Port Logistics by CI/ML/AS
Green Scheduling by CI/ML/AS
Distributed Scheduling by CI/ML/AS
Vehicle Routing Problem by CI/ML/AS
Automatic Guided Vehicle by CI/ML/AS
Intelligent Transport Systems by CI/ML/AS
Underground Logistics Planning & Design by CI/ML/AS
Underground Logistics Network Design by CI/ML/AS
Urban Transportation & Underground Logistics by CI/ML/AS
Other related Topics
投稿信息
文章类型（Article type）
VSI: AI-based Approaches
截止时间
2025年3月31日
投稿链接
https://www.editorialmanager.com/caie/default.aspx
END
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