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Journal of Applied Mathematics
Volume 2014, Article ID 949723, 12 pages
Research Article

An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis

1Department of Civil Engineering, University of Massachusetts, Amherst, MA 01003, USA
2State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China

Received 19 July 2013; Accepted 22 December 2013; Published 18 February 2014

Academic Editor: Bo Yu

Copyright © 2014 Enzo C. Jia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.