BTCI: A new framework for identifying congestion cascades using bus trajectory data

• Main Authors: CHIANG, Meng-Fen, LIM, Ee Peng, LEE, Wang-Chien, KWEE, Agus Trisnajaya
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Roads; Trajectory; Silicon; Accidents; Data models; Aggregates; Databases; Computer Sciences; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/3971; https://ink.library.smu.edu.sg/context/sis_research/article/4973/viewcontent/8._BTCI_a_New_Framwork_for_Identifying_Congestion_Cascades_Using_Bus_Trajectory_Data__IEEE_BigData2017_.pdf
• Institution: Singapore Management University

The knowledge of traffic health status is essential to the general public and urban traffic management. To identify congestion cascades, an important phenomenon of traffic health, we propose a Bus Trajectory based Congestion Identification (BTCI) framework that explores the anomalous traffic health...