Open Access
2014 An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis
Enzo C. Jia, Jianqiang Wang, Daiheng Ni
J. Appl. Math. 2014(SI14): 1-12 (2014). DOI: 10.1155/2014/949723


As urban planning becomes more sophisticated, the accurate detection and counting of pedestrians and cyclists become more important. Accurate counts can be used to determine the need for additional pedestrian walkways and intersection reorganization, among other planning initiatives. In this project, a camera-based approach is implemented to create a real-time pedestrian and cyclist counting system which is regularly accurate to 85% and often achieves higher accuracy. The approach retasks a state-of-the-art traffic camera, the Autoscope Solo Terra, for pedestrian and bicyclist counting. Object detection regions are sized to identify multiple pedestrians moving in either direction on an urban sidewalk and bicyclists in an adjacent bicycle lane. Collected results are processed in real time, eliminating the need for video storage and postprocessing. In this paper, results are presented for a pedestrian walkway for pedestrian flow up to 108 persons/min and the limitations of the implemented system are enumerated. Both pedestrian and cyclist counting accuracy of over 90% is achieved.


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Enzo C. Jia. Jianqiang Wang. Daiheng Ni. "An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis." J. Appl. Math. 2014 (SI14) 1 - 12, 2014.


Published: 2014
First available in Project Euclid: 1 October 2014

Digital Object Identifier: 10.1155/2014/949723

Rights: Copyright © 2014 Hindawi

Vol.2014 • No. SI14 • 2014
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