Document Type
Thesis
Degree
Master of Science (MS)
Department
Statistics
Advisor's Name
Hassan Zahedi
Advisor's Title
Committee Chair
Advisor's Name
Zhenmin Chen
Advisor's Name
Florence George
Keywords
Transit, On-Time Performance, Distributions
Date of Defense
11-4-2011
Abstract
Transit agencies have the opportunity to improve the delivery of services by using data from Intelligent Transportation Systems (ITS). On-time performance is an important measure. The objective of this paper is to adjust the timetables so that the probability of on-time performance is maximized. For this purpose we analyze data distributions of travel time and also consider the general case that data distribution is unknown. Statistical procedures are presented to find scheduled time for some selected distributions. Monte Carlo simulation is introduced for the purpose of finding scheduled time when data distribution is not known. Simulation studies indicate that the on-time performance would increase using the proposed methodology. The contribution of this paper is to provide transit system a procedure to set up or update their timetables based on current ITS data and its distribution, and hence increase level of service.
Recommended Citation
Wang, Xiaobo, "Modeling and Estimation for Transit On-time Performance Improvement" (2011). FIU Electronic Theses and Dissertations. Paper 494.
http://digitalcommons.fiu.edu/etd/494