Application of social force model to pedestrian behavior analysis at signalized crosswalk

Zeng, Weiliang; Chen, Peng; Nakamura, Hideki; Iryo-Asano, Miho

doi:10.1016/j.trc.2014.01.007

Cited by 219 publications

(113 citation statements)

References 27 publications

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“…However, since not all conflicts turn into collisions, we need to judge whether the conflicts are valid. As described in the study by Zeng et al [19], the time to conflict point (TTCP) can be used to identify whether a conflict is valid or not. The TTCP represents the time it will take for two pedestrians to pass the conflict point at their current speeds and directions.…”

Section: Stop/go Decision-making Modelmentioning

confidence: 99%

“…Pedestrian changing direction is a random behavior. Zeng et al [19] proposed a stochastic adjustment mechanism to reflect direction changing. This paper also adopts this maneuver.…”

Section: Stop/go Decision-making Modelmentioning

confidence: 99%

“…The maximum log-likelihood estimation method was used by Zeng et al [19] to calibrate the parameters of modified SFM. The calibration method used in this paper is based on the method adopted by Zeng et al [19].…”

Section: Calibration Of Model Parameters As Shown Inmentioning

confidence: 99%

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Simulation of Pedestrian Crossing Behaviors at Unmarked Roadways Based on Social Force Model

Cao

Wei

et al. 2017

Discrete Dynamics in Nature and Society

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Limited pedestrian microcosmic simulation models focus on the interactions between pedestrians and vehicles at unmarked roadways. Pedestrians tend to head to the destinations directly through the shortest path. So, pedestrians have inclined trajectories pointing destinations. Few simulation models have been established to describe the mechanisms underlying the inclined trajectories when pedestrians cross unmarked roadways. To overcome these shortcomings, achieve solutions for optimal design features before implementation, and help to make the design more rational, the paper establishes a modified social force model for interactions between pedestrians and vehicles at unmarked roadways. To achieve this goal, stop/go decision-making model based on gap acceptance theory and conflict avoidance models were developed to make social force model more appropriate in simulating pedestrian crossing behaviors at unmarked roadways. The extended model enables the understanding and judgment ability of pedestrians about the traffic environment and guides pedestrians to take the best behavior to avoid conflict and keep themselves safe. The comparison results of observed pedestrians' trajectories and simulated pedestrians' trajectories at one unmarked roadway indicate that the proposed model can be used to simulate pedestrian crossing behaviors at unmarked roadways effectively. The proposed model can be used to explore pedestrians' trajectories variation at unmarked roadways and improve pedestrian safety facilities.

show abstract

Section: Stop/go Decision-making Modelmentioning

confidence: 99%

“…Pedestrian changing direction is a random behavior. Zeng et al [19] proposed a stochastic adjustment mechanism to reflect direction changing. This paper also adopts this maneuver.…”

Section: Stop/go Decision-making Modelmentioning

confidence: 99%

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Simulation of Pedestrian Crossing Behaviors at Unmarked Roadways Based on Social Force Model

Cao

Wei

et al. 2017

Discrete Dynamics in Nature and Society

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“…Then, the social force model was calibrated and developed to simulate real-world scenarios in the pedestrian movement for evacuation scenarios, pilgrimage, and urban environments [9][10][11]. Support 2 Journal of Advanced Transportation Vector Machine (SVM) algorithm, cellular automata model, and normal cloud model have been created to reveal the pedestrian density-flow relationship and evaluate pedestrian dynamics following behavior in a subway station [12][13][14][15][16][17]. Being related to a pedestrian following behavior, the shockwave is a boundary in a pedestrian stream that represents a discontinuity in the flow-density domain [18].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Time Warping Algorithm Based Analysis of Pedestrian Shockwaves at Bottleneck

Sun

Gong

Yao

et al. 2018

Journal of Advanced Transportation

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Since the quantitative methodology analysis of the high-density pedestrian shockwaves at a bottleneck is limited, this paper proposes a dynamic time warping (DTW) algorithm for identifying, analyzing, and verifying the shockwaves. A set of real-world trajectory data is used to illustrate the proposed algorithm. Results show that the DTW algorithm is capable of depicting the pedestrian shockwaves elaborately and accurately. Results also show that the shockwave velocity is unsteady, as throughout time the gathering wave velocity and the evanescent wave velocity are decreasing and increasing, respectively. The mutual influence between followers and leaders is decreased when the shockwave spreads. There is a linear relationship between the shockwave velocity and density. Furthermore, singularities present a potential match solution to help identify the changing of pedestrian behaviors. The DTW algorithm for evaluating the pedestrian system stability has significant intrinsic features in the pedestrian traffic control and management.

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“…Various collective behaviors and self-organization phenomena have been observed from the view point of complexity of the pedestrian flow system. For understanding these phenomena, many models have been developed, for example, the social force model [1][2][3], the fluid dynamic model [4][5][6][7][8][9], and the cellular automata model [10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

A Modified Floor Field Model and Pareto Optimum of Pedestrian Evacuation Efficiency

Xu¹,

Lan²,

Gui³

2017

Mathematical Problems in Engineering

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A modified floor field model is proposed to simulate the pedestrian evacuation behavior in a room with multiple exits. The modification relies upon introduction of a so-called semidynamical floor field which additionally embodies two cognition coefficients related to exit width and pedestrian distribution around exits. The energy consumption and time requirement of evacuees are numerically investigated and the Pareto optimum of evacuation efficiency is obtained by selecting the combinations of the two cognition coefficients.

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Application of social force model to pedestrian behavior analysis at signalized crosswalk

Cited by 219 publications

References 27 publications

Simulation of Pedestrian Crossing Behaviors at Unmarked Roadways Based on Social Force Model

Simulation of Pedestrian Crossing Behaviors at Unmarked Roadways Based on Social Force Model

A Dynamic Time Warping Algorithm Based Analysis of Pedestrian Shockwaves at Bottleneck

A Modified Floor Field Model and Pareto Optimum of Pedestrian Evacuation Efficiency

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