Transportation Research Part E：Logistics and Transportation Review特刊：Revolutionizing Urban Mobility: Integrating AI and Machine Learning in Smart City Transit Systems
投稿网址
https://www.sciencedirect.com/journal/transportation-research-part-e-logistics-and-transportation-review/about/call-for-papers#revolutionizing-urban-mobility-integrating-ai-and-machine-learning-in-smart-city-transit-systems
期刊
Transportation Research Part E: Logistics and Transportation Review
This special issue explores the expansive integration of AI and machine learning across a diverse array of multimodal urban transit options, aiming to transform smart cities through enhanced mobility, efficiency, and sustainability.
特刊信息
As urban areas continue to grow and evolve, the integration of technology in multimodal transit systems becomes increasingly paramount. The special issue, " Revolutionizing Urban Mobility: Integrating AI and Machine Learning in Smart City Transit Systems," is dedicated to exploring the technological advancements reshaping urban transit. This exploration extends to the application of artificial intelligence, machine learning, and smart city integration across a spectrum of mobility solutions, aiming to boost operational efficiency and augment ridership.
关键词
Innovative Public Transit Models
Smart City Integration
AI in Transit
Transportation Demand Management
客座编辑
Xuesong (Simon) Zhou - xzhou74@asu.edu (Arizona State University, the United States of America)
Otto Anker Nielsen - oani@dtu.dk (Technical University of Denmark)
Zhiyuan Liu - zhiyuanl@seu.edu.cn (Southeast University, China)
提交时间
Submission Opening Time：2024年05月22日
投稿信息
All submissions for this special issue should be submitted to the Transportation Research Part E online submission system and will go through the journal’s standard peer-review process.
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文章须知
文章作者：北京交大主编面对面系列活动
责任编辑：Wei 张云天
微信编辑：疑疑
文章转载自『 北京交大主编面对面系列活动』公众号，原文链接：Transportation Research Part E特刊
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