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Yue Zhao Graduate Research Assistant Center for Advanced Transportation Education and Research

E xploration of Pedestrian Gap Acceptance at Two-Way Stop-Controlled Intersections using Simulation. Yue Zhao Graduate Research Assistant Center for Advanced Transportation Education and Research Department of Civil & Environmental Engineering University of Nevada, Reno.

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Yue Zhao Graduate Research Assistant Center for Advanced Transportation Education and Research

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  1. Exploration of Pedestrian Gap Acceptance at Two-Way Stop-Controlled Intersections using Simulation Yue Zhao Graduate Research Assistant Center for Advanced Transportation Education and Research Department of Civil & Environmental Engineering University of Nevada, Reno Email: yuezhao118@gmail.com

  2. Outline • Background • Simulation Model • Data Analysis • Conclusions

  3. Background • TWSC intersection: high degree of discretion to individual drivers and pedestrians in how they react to conflict traffic streams. • Pedestrian behavior plays an important role in analyzing the operations of two-way stop-controlled intersections: pedestrian blockage. • Major-street vehicles: stop • Minor-street vehicles: lose the opportunity to seek gaps

  4. Background Arrive-Wait-Service-Depart Pedestrian gap acceptance: time between the head of consecutive vehicle

  5. Background • Methodology • Simulation models: Vissim and Corsim micro-simulation environment. • Objectives: • Analyzing and comparing diverse pedestrian gap acceptance behaviors at TWSC locations. • Measure the acceptable gap and rejected gap thresholds.

  6. Model Construction • Data Collection • Typical TWSC intersection; Traffic and pedestrian volumes on each approach during peak hour(4-5pm) were counted manually. 381ft

  7. Model Construction Model Coding • VISSIM: defines pedestrians as vehicles to extract gap acceptance etc. data. • Vehicle and pedestrian demands; • Basic geometric properties of the study intersections; • Pedestrian behavior attributes. • CORSIM(NETSIM & FRESIM): light, moderate, and heavy pedestrians.

  8. Model Construction • Model Calibration • Pedestrian and vehicle flows, speeds, travel time reflect those observed data in the field.

  9. Analysis • Delay Analysis • Pedestrian delay: relatively small

  10. Accepted and Rejected Gap • Accepted gap: [4, 12] • Rejected gap: [0, 5.5] • Approximately 2 seconds overlap: [3, 5]

  11. Analysis • Accepted Gap and Rejected Gap • Near-side and far-side accepted and rejected gap. • Shorter far-side gaps are accepted in both models. • Near-gap and far-gap are recorded simultaneously when pedestrians make the decision to cross. • Potential dangerous behavior: some pedestrians pay little attention to the far-side incoming vehicles.

  12. Analysis • Traffic and Pedestrian Volume • Conflicting traffic volume increases larger gaps accepted. • Pedestrian volume increases  shorter gaps accepted.

  13. Conclusions • Pedestrians are in the similar circumstances with vehicles on minor-street. • Pedestrian gap acceptance is from 4 to 12 seconds, and rejected gaps are around 0 to 5.5 seconds. • Shorter far-side gaps are accepted. • 2 seconds overlap between accepted and rejected gaps. • VISSIM provides more detailed coding platform and information.

  14. THANKS FOR YOUR TIME

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