Dynamic prediction of the incident duration using adaptive feature set

• Main Authors: Ghosh, Banishree, Muhammad Tayyab Asif, Dauwels, Justin, Fastenrath, Ulrich, Guo, Hongliang
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Predictive Models; Incident Duration Prediction
• Online Access: https://hdl.handle.net/10356/136590
• Institution: Nanyang Technological University

Non-recurring incidents such as accidents and vehicle breakdowns are the leading causes of severe traffic congestions in large cities. Consequently, anticipating the duration of such events in advance can be highly useful in mitigating the resultant congestion. However, availability of partial infor...