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Bus passenger flow statistics algorithm based on deep learning |
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| Authors: | Zhang Yong Tu Wentao Chen Kairui Wu C. H. Li Li Ip W. H. Chan C. Y. |
| Affiliation: | 1.ATR Key Laboratory of National Defence Technology, Shenzhen University, Shenzhen, 518060, China ;2.Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, 518060, China ;3.Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ), Shenzhen University, Shenzhen, 518060, China ;4.School of Science and Technology, Georgia Gwinnett College, Lawrenceville, GA, 30043, USA ;5.Department of Supply Chain and Information Management, Hang Seng University of Hong Kong, Hong Kong, 999077, China ;6.Shenzhen Institute of Information Technology, Shenzhen, 518172, China ;7.College of Engineering, University of Saskatchewan, Saskatoon, Canada ;8.Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, 999077, China ; |
| Abstract: | Multimedia Tools and Applications - Bus passenger flow statistics can be used to improve passenger travelling experience and reduce trip delay, this is very important for intelligent... |
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