Identifier
etd-04042014-190104
Degree
Master of Science (MS)
Department
Civil and Environmental Engineering
Document Type
Thesis
Abstract
The identification of congestion hot spots plays an important role in congestion monitoring of highway and arterial systems. Traditionally, vehicle detection systems or probe vehicles are used to measure travel time and identify congestion hot spots. This approach is time-consuming and resource intensive. With the advent of new technologies like crowdsourcing, travel time can be collected more cost-effectively using fewer resources. The research presented in this paper develops a new methodology to identify congestion hot spots in an urban area using freely available historical speed data gathered by Google and published as a traffic layer in Google maps. The methodology uses image analysis techniques like image segmentation and pixel analysis to formulate a sequence of steps that identify areas consistently experiencing congestion. As a case study, the developed methodology was applied in the Baton Rouge metropolitan area for the months of August and September 2013 and then compared with speeds and travel time obtained from Bluetooth signal detection devices deployed in the same region. The results showed that the methodology developed in this thesis could identify congestion hotspots that are consistent with data acquired through Bluetooth-driven measurement of travel time. The methodology can be used for areas where Google traffic maps (or other maps with color coded traffic data) are freely available as a quick and inexpensive method of identifying congestion hotspots. Since the method also quantifies the degree of congestion, the method can be used to prioritize corridors for applying congestion mitigation measures. The research presented in this paper is of potential benefit to traffic engineers, State DOT’s and other policy makers who are interested in identifying congestion hotspots in urban areas.
Date
2014
Document Availability at the Time of Submission
Secure the entire work for patent and/or proprietary purposes for a period of one year. Student has submitted appropriate documentation which states: During this period the copyright owner also agrees not to exercise her/his ownership rights, including public use in works, without prior authorization from LSU. At the end of the one year period, either we or LSU may request an automatic extension for one additional year. At the end of the one year secure period (or its extension, if such is requested), the work will be released for access worldwide.
Recommended Citation
Mokkapati, Aditya, "Determining the Location of Congestion Hot Spots in Urban Areas Using Image Analysis" (2014). LSU Master's Theses. 890.
https://repository.lsu.edu/gradschool_theses/890
Committee Chair
Wilmot, Chester
DOI
10.31390/gradschool_theses.890