An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis
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...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/949723 |
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| author | Enzo C. Jia Jianqiang Wang Daiheng Ni |
| author_facet | Enzo C. Jia Jianqiang Wang Daiheng Ni |
| author_sort | Enzo C. Jia |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e2e24d0fc25b4ef383ab0eb571a5f91a |
| institution | DOAJ |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-e2e24d0fc25b4ef383ab0eb571a5f91a2025-08-20T03:21:07ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/949723949723An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection AnalysisEnzo C. Jia0Jianqiang Wang1Daiheng Ni2Department of Civil Engineering, University of Massachusetts, Amherst, MA 01003, USAState Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, ChinaDepartment of Civil Engineering, University of Massachusetts, Amherst, MA 01003, USAAs 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.http://dx.doi.org/10.1155/2014/949723 |
| spellingShingle | Enzo C. Jia Jianqiang Wang Daiheng Ni An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis Journal of Applied Mathematics |
| title | An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis |
| title_full | An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis |
| title_fullStr | An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis |
| title_full_unstemmed | An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis |
| title_short | An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis |
| title_sort | efficient methodology for calibrating traffic flow models based on bisection analysis |
| url | http://dx.doi.org/10.1155/2014/949723 |
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