Minnesota Department of Transportation Office of Research Services
The objective of the project is to analyze existing technologies used for the process of generating counts of bicycles
and pedestrians in transportation facilities such as walk and bicycle bridges, urban bicycle routes, bicycle trails etc.
The advantages and disadvantages of each existing technology which is being applied to counting has been
analyzed and some commercially available products were listed. A technical description of different methods that
were considered for vision based object recognition is also mentioned along with the reasons as to why such
methods were overlooked for our problem. Support Vector Machines were used for classification based on a
vocabulary of features built using interest point detectors. After finalizing the software and hardware, five sites
were picked for filming and about 10 hours of video was acquired in all. A portion of the video data was used for
training and the remainder was used for testing the algorithm’s accuracy. Results of counts are provided and an
interpretation of these results is provided in this report. Upon detailed analysis the reasons for false counts and
undercounting in some cases have been identified and current work concerns dealing with these issues. Changes are
being made to the system to improve the accuracy with the current level of training and make the system available
for practitioners to perform counting.
Minnesota Department of Transportation
Office of Research Services
Somasundaram, Guruprasad; Morellas, Vassilios; Papanikolopoulos, Nikolaos P..
Practical Methods for Analyzing Pedestrian and Bicycle Use of a Transportation Facility.
Minnesota Department of Transportation Office of Research Services.
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