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Development of a socially aware crowd flow model and control of crowd flow based on reinforcement learning

Research Project

Project/Area Number 22KJ2310
Project/Area Number (Other) 22J20686 (2022)
Research Category

Grant-in-Aid for JSPS Fellows

Allocation TypeMulti-year Fund (2023)
Single-year Grants (2022)
Section国内
Review Section Basic Section 60100:Computational science-related
Research InstitutionOkayama University

Principal Investigator

GREGORJ ADRIEN THIBAUD M (2023)  岡山大学, 自然科学研究科, 特別研究員(DC2)

GREGORJ Adrien (2022)  岡山大学, 自然科学研究科, 特別研究員(DC2)

Project Period (FY) 2023-03-08 – 2025-03-31
Project Status Granted (Fiscal Year 2023)
Budget Amount *help
¥2,500,000 (Direct Cost: ¥2,500,000)
Fiscal Year 2024: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2023: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2022: ¥900,000 (Direct Cost: ¥900,000)
Keywordspedestrian dynamics / collision avoidance / nudging / smooth pursuit / social interactions / crowd steering / gaze tracking
Outline of Research at the Start

This research aims to explore the use of visual stimuli for steering crowds and improving pedestrian flow. Accomplishing this goal necessitates the development of models for predicting crowd motion and as an understanding of the mechanisms that come into play when humans are exposed to such stimuli.

Outline of Annual Research Achievements

The project is advancing steadily, and we have acquired valuable findings. Specifically, we have continued our examination of the impacts of social interactions on pedestrian dynamics. Additionally, we have conducted thorough analyses of collision avoidance behaviors during encounters involving individuals and pairs. As a result, we have initiated research into the spontaneous synchronization of gait among socially interacting pairs, an area showing promising initial results which will require further exploration.
Concurrently, we have executed an experiment to explore how target shape affects smooth pursuit. Moreover, we have outlined plans for additional experiments to consolidate our findings. This research constitutes a critical step towards devising effective methods to nudge pedestrians.

Current Status of Research Progress
Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

Analysis of collision avoidance behaviors:
Our investigation into collision avoidance behaviors during encounters involving individuals and two-person groups has progressed significantly. The findings from our studies were presented at the Pedestrian and Evacuation Dynamics (PED) conference in 2023, and the corresponding article is under review for publication in Collective Dynamics. In addition, we have carefully analyzed the differences in behavior between individuals and groups of two during these encounters scenarios, and we plan to submit these results for publication soon. Furthermore, we have started studying the spontaneous gait synchronization among socially interacting two-person groups, which represents a promising avenue for further exploration.

Experiment on the impact of target shape on smooth pursuit:
Our experiment examining the influence of target shape on smooth pursuit has been successfully designed and executed with an initial group of participants. We are currently in the process of analyzing the results, and we have outlined plans for additional experiments to validate our findings. This research holds potential for enhancing our understanding of how target characteristics affect tracking performances.

Strategy for Future Research Activity

My research plan includes two main objectives:
Nudging of pedestrians: I propose conducting complementary experiments to examine how pedestrians respond to different types of tracking target. Specifically, we aim to include a broader demographic, particularly focusing on the elderly population. By studying their smooth pursuit of various targets, this analysis will provide valuable insights into the effectiveness of nudging strategies and inform the development of tailored interventions to enhance pedestrian safety and mobility.

Analysis of pedestrian behaviors: Our research will keep investigating pedestrian behaviors during encounters, with a focus on avoidance strategies and the influence of social interactions. Additionally, we plan to study spontaneous gait synchronization among pedestrians, specifically exploring how the intensity of interaction affects synchronization patterns. Understanding these dynamics will inform crowd management techniques and urban design strategies.

Report

(2 results)
  • 2023 Research-status Report
  • 2022 Annual Research Report
  • Research Products

    (3 results)

All 2023 2022

All Journal Article (1 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (2 results) (of which Int'l Joint Research: 2 results)

  • [Journal Article] Social aspects of collision avoidance: a detailed analysis of two-person groups and individual pedestrians2023

    • Author(s)
      Adrien Gregorj, Zeynep Yucel, Francesco Zanlungo, Claudio Feliciani, Takayuki Kanda
    • Journal Title

      Scientific Reports

      Volume: - Issue: 1 Pages: 5756-5756

    • DOI

      10.1038/s41598-023-32883-z

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Asymmetries in group-individual collision avoidance due to social factors2023

    • Author(s)
      Adrien Gregorj, Zeynep Yucel, Francesco Zanlungo, Takayuki Kanda
    • Organizer
      Pedestrian and Evacuation Dynamics
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] On the influence of group social interaction on intrusive behaviours2022

    • Author(s)
      Adrien Gregorj, Zeynep Yucel, Francesco Zanlungo, Takayuki Kanda
    • Organizer
      Traffic and Granular Flow
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research

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Published: 2022-04-28   Modified: 2024-12-25  

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