Abstract
A multi-scale simulation framework is proposed to analyze pedestrian delays at signalized crosswalks in large urban areas under different conditions. An aggregated-level model runs in normal conditions, where each crosswalk is represented as an agent. In this level, pedestrian counts collected near crosswalks are utilized to derive the binary choice probability from a utility maximization model. The derived probability function extended from Adams' model is utilized to estimate an average pedestrian delay with corresponding traffic flow rate and traffic light control at each crosswalk. When an abnormality is detected, a detailed-level model with each pedestrian being an agent is executed in the affected subareas. Pedestrian decision-making under abnormal conditions, physical movement, and crowd congestion are explicitly considered in the detailed-level model. The proposed framework is illustrated with the scenario of Chicago Loop area which contains 87 signalized intersections. A simulation model has been implemented in AnyLogicR software, where the input of pedestrian arrival distribution is derived from a field study. Experiments have been conducted to compare the results obtained from different levels and analyze correlations among statistics of neighboring crosswalks. The obtained results will allow us to automate appropriate fidelity selection under varying conditions as a future work.
| Original language | English (US) |
|---|---|
| Title of host publication | 62nd IIE Annual Conference and Expo 2012 |
| Publisher | Institute of Industrial Engineers |
| Pages | 2955-2965 |
| Number of pages | 11 |
| State | Published - 2012 |
| Event | 62nd IIE Annual Conference and Expo 2012 - Orlando, FL, United States Duration: May 19 2012 → May 23 2012 |
Other
| Other | 62nd IIE Annual Conference and Expo 2012 |
|---|---|
| Country | United States |
| City | Orlando, FL |
| Period | 5/19/12 → 5/23/12 |
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Keywords
- Multi-scale modeling
- Pedestrian crossing
- Signalized intersection
- Urban traffic modeling
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
Cite this
A multi-scale framework for pedestrian behavior model at signalized crosswalks. / Xi, Hui; Son, Young-Jun.
62nd IIE Annual Conference and Expo 2012. Institute of Industrial Engineers, 2012. p. 2955-2965.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A multi-scale framework for pedestrian behavior model at signalized crosswalks
AU - Xi, Hui
AU - Son, Young-Jun
PY - 2012
Y1 - 2012
N2 - A multi-scale simulation framework is proposed to analyze pedestrian delays at signalized crosswalks in large urban areas under different conditions. An aggregated-level model runs in normal conditions, where each crosswalk is represented as an agent. In this level, pedestrian counts collected near crosswalks are utilized to derive the binary choice probability from a utility maximization model. The derived probability function extended from Adams' model is utilized to estimate an average pedestrian delay with corresponding traffic flow rate and traffic light control at each crosswalk. When an abnormality is detected, a detailed-level model with each pedestrian being an agent is executed in the affected subareas. Pedestrian decision-making under abnormal conditions, physical movement, and crowd congestion are explicitly considered in the detailed-level model. The proposed framework is illustrated with the scenario of Chicago Loop area which contains 87 signalized intersections. A simulation model has been implemented in AnyLogicR software, where the input of pedestrian arrival distribution is derived from a field study. Experiments have been conducted to compare the results obtained from different levels and analyze correlations among statistics of neighboring crosswalks. The obtained results will allow us to automate appropriate fidelity selection under varying conditions as a future work.
AB - A multi-scale simulation framework is proposed to analyze pedestrian delays at signalized crosswalks in large urban areas under different conditions. An aggregated-level model runs in normal conditions, where each crosswalk is represented as an agent. In this level, pedestrian counts collected near crosswalks are utilized to derive the binary choice probability from a utility maximization model. The derived probability function extended from Adams' model is utilized to estimate an average pedestrian delay with corresponding traffic flow rate and traffic light control at each crosswalk. When an abnormality is detected, a detailed-level model with each pedestrian being an agent is executed in the affected subareas. Pedestrian decision-making under abnormal conditions, physical movement, and crowd congestion are explicitly considered in the detailed-level model. The proposed framework is illustrated with the scenario of Chicago Loop area which contains 87 signalized intersections. A simulation model has been implemented in AnyLogicR software, where the input of pedestrian arrival distribution is derived from a field study. Experiments have been conducted to compare the results obtained from different levels and analyze correlations among statistics of neighboring crosswalks. The obtained results will allow us to automate appropriate fidelity selection under varying conditions as a future work.
KW - Multi-scale modeling
KW - Pedestrian crossing
KW - Signalized intersection
KW - Urban traffic modeling
UR - http://www.scopus.com/inward/record.url?scp=84900342591&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84900342591&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84900342591
SP - 2955
EP - 2965
BT - 62nd IIE Annual Conference and Expo 2012
PB - Institute of Industrial Engineers
ER -