TITLE:
Development of a Post-Processing Automation Procedure for the GPS-Based Travel Time Data Collection Technique
AUTHORS:
Laura Berzina, Ardeshir Faghri, Morteza Tabatabaie Shourijeh, Mingxin Li
KEYWORDS:
Global Positioning Systems (GPS); Post-Processing Tool; VBA; GIS; Kalman Filter
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.4 No.1,
January
23,
2014
ABSTRACT: The
travel time data collection method is used to assist the congestion management.
The use of traditional sensors (e.g. inductive loops, AVI sensors) or more
recent Bluetooth sensors installed on major roads for collecting data is not
sufficient because of their limited coverage and expensive costs for
installation and maintenance. Application of the Global Positioning Systems
(GPS) in travel time and delay data collections is proven to be efficient in
terms of accuracy, level of details for the data and required data collection of man-power. While data collection
automation is improved by the GPS technique, human errors can easily find their
way through the post-processing phase, and therefore data post-processing
remains a challenge especially in case of big projects with high amount of
data. This paper introduces a stand-alone post-processing tool called GPS
Calculator, which provides an easy-to-use environment to carry out data post-processing. This is a Visual Basic
application that processes the data files obtained in the field and integrates
them into Geographic Information Systems (GIS) for analysis and representation.
The results show that this tool obtains similar results to the currently used
data post-processing method, reduces the post-processing effort, and also
eliminates the need for the
second person during the data collection.