Microscopic pedestrian simulation model combined with a tactical model for route choice behaviour

Asano, Miho; Iryo, Takamasa; Kuwahara, Masao

doi:10.1016/j.trc.2010.01.005

Cited by 163 publications

(76 citation statements)

References 12 publications

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“…Several previous studies in the past have examined pedestrian crossing behaviors, crossing speed [7][8][9][10], gap acceptance [6,11,12], and trip route choice [13][14][15]. However, few of them have considered pedestrian jaywalking events.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling vehicle–pedestrian interactions outside of crosswalks

Zheng

Chase

Elefteriadou

et al. 2015

Simulation Modelling Practice and Theory

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Section: Literature Reviewmentioning

confidence: 99%

Modeling vehicle–pedestrian interactions outside of crosswalks

Zheng

Chase

Elefteriadou

et al. 2015

Simulation Modelling Practice and Theory

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“…The utility maximization approach is used to navigate the pedestrian's moving direction. The pedestrians adjust their moving speed in the moving direction in terms of the perceived environmental information [7].…”

Section: Figure 3 Elements Of Social Force Modelmentioning

confidence: 99%

Application of artificial neural networks for agent-based simulation of emergency evacuation from buildings for various purpose

Tkachuk

Song

Maltseva

2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The application of Artificial Neural Networks (ANN) for the pedestrian flow simulation is a new stage in the development of system simulation, which has become accessible due to the exponential growth of computing power. Authors, together with colleagues from the Beihang University, Beijing, developed a program that allows to solve practical problems connected with emergency evacuation in construction using system simulation based on ANN. Machine learning allows us to precisely simulate the behavior of all people during evacuation, their reaction on obstacles and other people, and predict the load on the main evacuation routes in advance and, as a consequence, make changes to the plans of the buildings, where necessary. With the help of this program architects and designers can find the right solutions for the projects, which will not require any further adjustments, after the building will be constructed. This program is especially important for unique multifunctional facilities, for example, sports stadiums or shopping and entertainment centers, where a real evacuation check cannot be carried out.

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“…Conflict Avoidance of Pedestrians. Asano et al [18] assumed that the subject pedestrian would adopt a givingway maneuver to avoid collisions with the nearest pedestrian if they stepped into his/her private sphere, that is, if a collision was likely to occur. Two common conflicts are shown in Figure 5(a).…”

Section: Stop/go Decision-making Modelmentioning

confidence: 99%

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.

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Microscopic pedestrian simulation model combined with a tactical model for route choice behaviour

Cited by 163 publications

References 12 publications

Modeling vehicle–pedestrian interactions outside of crosswalks

Modeling vehicle–pedestrian interactions outside of crosswalks

Application of artificial neural networks for agent-based simulation of emergency evacuation from buildings for various purpose

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

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