Machine learning for anomaly detection on intelligent transportation time series data

• Main Author: Lin, Yuxuan
• Other Authors: Lin Zhiping
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
• Online Access: https://hdl.handle.net/10356/163318
• Institution: Nanyang Technological University

In intelligent transportation systems, machine learning approaches are presented to deal with time series anomaly detection. But there are always far more normal samples, making it suffer from unbalanced samples for traffic anomaly detection. In this dissertation, based on the state-of-the-art model...