Real-time estimation of pedestrian volume at button-activated midblock crosswalks using traffic controller event-based data

Pedestrian volume is essential for optimizing midblock pedestrian signals as well as for quantifying pedestrian exposure in safety analyses. However, previous methods of pedestrian volume collection require either time-consuming ground-truth data collection, or the purchase and maintenance of costly sensors in a large-scale application. Therefore, this paper proposes a novel method for large-scale pedestrian estimation at midblock crosswalks using button-pushing and signal timing events. The pedestrian arrival is modeled as a Poisson process, and two submethods are developed to estimate pedestrian volume at one-stage and two-stage button-activated midblock crosswalks (BAMCs). To address the issue of missing signal cycles at two-stage BAMCs, all missing cycles that are identified by using the proposed paired signal cycle identification algorithm are accounted for and added by minimizing the error between estimation results of two stages. Eight days of the ground-truth pedestrian volume is manually collected from two study midblock crosswalks to evaluate the proposed methods. On average, 235 and 230 pedestrians per day were observed to cross the one-stage BAMC and two-stage BAMC, respectively. The average mean absolute error of estimated pedestrian volume using a one-hour interval is 2.27 and 1.78 ped/hour at two study locations, respectively. The evaluation results indicate that the proposed methods are promising for estimating pedestrian volume at midblock crosswalks using event-based data. A further sensitivity analysis of changing the estimation interval shows that the one-hour interval pedestrian volume estimation is recommended as having the least error.

• Record URL:
  • https://doi.org/10.1016/j.trc.2020.102876
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0968090X20307762
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Li, Xiaofeng
  • Wu, Yao-Jan
• Publication Date: 2021-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 102876
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 122
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Crosswalks; Midblock crossings; Pedestrian actuated controllers; Pedestrian traffic; Real time information; Sensitivity analysis; Statistical analysis; Traffic estimation; Traffic volume
• Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting;

Filing Info

• Accession Number: 01762521
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 22 2021 5:21PM