Trajectory pattern mining via clustering based on similarity function for transportation surveillance

• Main Authors: Choong, Mei Yeen, Chin, Renee Ka Yin, Yeo Kiam Beng @ Abdul Noor, Teo, Kenneth Tze Kin
• Format: Article
• Language: English; English
• Published: United Kingdom Simulation Society 2016
• Subjects: QA75.5-76.95 Electronic computers. Computer science; TA1001-1280 Transportation engineering
• Online Access: https://eprints.ums.edu.my/id/eprint/32418/1/Trajectory%20pattern%20mining%20via%20clustering%20based%20on%20similarity%20function%20for%20transportation%20surveillance.pdf; https://eprints.ums.edu.my/id/eprint/32418/3/Trajectory%20pattern%20mining%20via%20clustering%20based%20on%20similarity%20function%20for%20transportation%20surveillance%20_ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/32418/; https://ijssst.info/Vol-17/No-34/paper19.pdf; http://dx.doi.org/10.5013/IJSSST.a.17.34.19
• Institution: Universiti Malaysia Sabah

Recently, surveillance on moving vehicles for traffic flow monitoring has emerging in rapid rate. A comprehensive traffic data, that is vehicle trajectory, is selected as reliable data for discovering the underlying pattern via trajectory mining. As the task of monitoring moving vehicles via vehicle...