Title Freeway Speed Estimation
Dept Transportation Technology and Information Division
Year 2005
Month
Price
Summary In last decade, the development of Intelligent Transportation Systems (ITS) in Taiwan has obtained significant progress. Through the cooperation among MOTC and transportation agencies in local governments, ITS infrastructure constructions are especially encouraged. In the early stages, “The real time traffic information system” could only provide real-time traffic speed and traffic incident display on certain freeway segments, and international flight arrival and departure information. Till now, it can also provide the real-time CCTV images of traffic situation to the public. Besides, there are many local governments proceeding several APTS and ATMS projects to provide more useful traffic information to satisfy the needs of the public.  "The real time traffic information system” can provide much valuable freeway information, which is mainly collected by traditional vehicle detectors installed on freeways. However, if the detectors are malfunctioned, the system is not able to provide any information. If there is no backup alternative to gather quasi real-time information, this service will not be reliable. This research is trying to develop a methodology to recover the lost traffic speed data on certain freeway sections. This research has collected daily speed data on certain freeway sections in three minutes interval as the historical data. Moreover, empirical analysis models are provided to recover the lost speed data by retrieving the similar traffic situations from the historical database. This research has shown that it is a reasonable solution to ensure the real-time traffic information system can be function appropriately under the existing equipment constraints. It is hoped that the empirical models used in this research can be further applied to the study of travel time estimation. There are four major contributions of this research:

Building up the standard freeway historical traffic speed database in Taiwan.
Analyzing the variation of the speed data on certain freeway sections, which can serve a desirable comparing base to check the functionality of any on-site vehicle detectors.
Identifying the appropriate regression models to estimate the freeway lost speed data.
By comparing the estimation results among different models to understand the difference of feasibility for each model under different empirical conditions.
Post date 2005/10/24
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