Quantifying the effect of road incidents on urban traffic

• Main Author: Ang, Beverley Chu Yi
• Other Authors: Justin Dauwels
• Format: Final Year Project
• Language: English
• Published: 2016
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing; DRNTU::Engineering
• Online Access: http://hdl.handle.net/10356/67655
• Institution: Nanyang Technological University

Traffic jams and traffic incidences can be prevalent in big urban cities, with increasing frequencies during peak hours, when there are more cars on the roads. By predicting and directing traffic appropriately, traffic jams and traffic incidences may be averted and reduced. Tracking and predicting traffic is essential in order to establish productive and useful on-demand route guidance. With accurate prediction, forecast of possible traffic jams and incidences will be possible, and thus able to direct drivers away from the affected links and routes. The aim of this project is to explore and analyse basic traffic models and prediction methods and apply them on historical traffic data obtained from the authorities.