Collaborative Intelligence Enabled Routing in Green IoV: A Grid and Vehicle Density Prediction Based Protocol

Author:

Liu Bingyi1ORCID,Sheng Yang1,Shao Xun2ORCID,Ji Yusheng3ORCID,Han Weizhen1,Wang Enshu4,Xiong Shengwu1ORCID

Affiliation:

1. School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China

2. School of Engineering, Kitami Institute of Technology, Kitami, Japan

3. National Institute of Informatics, Kitami, Japan

4. University at Buffalo, The State University of New York, Buffalo, NY, USA

Funder

Research Project of Chongqing Research Institute, Wuhan University of Technology

Science Foundation of Chongqing of China

ROIS National Institute of Informatics Open Collaborative Research

Major Technological Innovation Projects in Hubei Province

Key Research and Development Program of Hainan

Cooperative Research Project Program of the Research Institute of Electrical Communication, Tohoku University

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Renewable Energy, Sustainability and the Environment

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3. A Joint Design of Path Planning and Lane Reservation for Emergency Service in ITS;2023 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA);2023-11-04

4. An Adaptive Clustering Approach for Efficient Data Dissemination in IoV;International Conference on Neural Computing for Advanced Applications;2023

5. Minimizing Energy Loss Decisions for Green Driving Platoon;2022 32nd International Telecommunication Networks and Applications Conference (ITNAC);2022-11-30

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