Optimal Measurement Interval for Pedestrian Traffic Flow Modeling
Publication: Journal of Transportation Engineering
Volume 137, Issue 12
Abstract
Measurement interval is crucial in obtaining stable traffic flow parameters, such as traffic flow rate, density, and speed. Credible relationships among these parameters and reasonable capacity for analysis are also dependent on the appropriate measurement interval. Nevertheless, the measurement interval has not been mentioned explicitly in most previous studies related to pedestrian traffic flow. Different researchers adopted various time intervals for traffic flow parameters measurement, and the reasons for the choice of a certain measurement interval were usually not clearly stated. This paper deals with the impact of different intervals on the results of pedestrian traffic flow parameters counting and the methods to determine the appropriate measurement interval. It takes pedestrian traffic in Shanghai Metro stations into an observation context. By video recording, pedestrian traffic parameters, including volume and density, are extracted manually through recording tapes using an initial 5-s interval for level passageway, ascending stairway, descending stairway, and two-way stairway. Taking 5 s as the basic incremental unit, traffic parameters for 10-s interval, 15-s interval, and other analogical time interval values are acquired in sequence. On the basis of the principles of measurement interval selection, the appropriate measurement interval is determined by comparing its influence on stability of hourly flow rate and invariability of pedestrian traffic status when applying different time interval values. It is revealed that a 30-s interval value is optimal for all the observed facilities in this research context. From the analysis of optimal measurement interval, it could also be inferred that traffic stability of level passageway is higher than that of stairways, and a one-way stairway is more stable than a two-way stairway. The collected data, proposed methods, and revealed pedestrian flow characteristics could be helpful in improving the theories on pedestrian traffic flow, and serve as valuable references for similar pedestrian context studies.
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Acknowledgments
This research is supported by National High Technology Research and Development Program of China (863 Program) named “Technology of design for rapid public transit system in metropolis (2006AA11Z202)”. The authors also give thanks especially to Shanghai ShenTong Metro Co., Ltd for the aid of survey and provision of some useful recordings in metro stations.
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 137 • Issue 12 • December 2011
Pages: 934 - 943
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Feb 1, 2010
Accepted: Apr 7, 2011
Published online: Apr 11, 2011
Published in print: Dec 1, 2011
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