Traffic flow patterns in select road sections in EDSA: A categorical time series model for a north to south experience
Date of Publication
Bachelor of Science in Statistics Major in Actuarial Science
Statistics and Probability
College of Science
Mathematics and Statistics Department
Robert Neil F. Leong
In this paper, an exploratory study of traffic flow on select road sections of Epifanio De los Santos Avenue (EDSA) is conducted in consideration of the limitations of Metro Manila Development Authority data. This study considered the traffic road patterns in select roads namely, North Avenue, Aurora Boulevard, Shaw Boulevard, Ayala Avenue, and Roxas Boulevard along southbound. Analyses were performed separately for weekdays, Saturdays, and Sundays with a view towards a more dynamic characterization of traffic flow patterns. Under the assumptions made in this study, results showed that the worst traffic conditions are observed in Aurora Blvd while the lightest is observed in North Avenue. In addition, regardless of day of the week, observing lighter traffic conditions in Aurora Blvd are highly dependent on traffic levels in North Avenue approximately 15-30 minutes prior. Future explorations are in order, particularly the addition of more highways and how traffic conditions interact.
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
1 computer disc ; 4 3/4 in.
Traffic congestion--Philippines; Traffic monitoring--Philippines; Traffic engineering--Philippines; Logistic regression analysis
Durante, J. C., & Domingo, C. H. (2016). Traffic flow patterns in select road sections in EDSA: A categorical time series model for a north to south experience. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14896