Abstract
We propose a model that combines existing walking and crowd models (the social-force, following behavior, and Boids models) to simulate pedestrian flow under realistic states of congestion. We recorded pedestrians walking in a passage inside Shinagawa Station to capture the actual conditions and compared this with our simulation results to verify the reliability of the existing and proposed models. This confirmed that the proposed model could reproduce actual pedestrian flow better than the existing models. Using the verified proposed model, we examined the number of rows deep in which pedestrians can comfortably walk down a crowded passage. We then calculated the magnitude of the average number of people leaving as well as their walking speed depending on the number of rows deep in which the pedestrians walked. This analysis confirmed that pedestrians could comfortably walk down a passage that is 16-m wide by 64-m long when there are only two or three rows of pedestrian flow.
Highlights
In recent years, urban areas have witnessed increased pedestrian congestion at certain high-travel times
The social-force model is a dynamic model that solves the equation of motion based on the walking velocity of the pedestrian, the force in the direction of movement, and the force received from surrounding pedestrians and obstacles [5]
By comparing the measured values obtained from the video data and the estimated values obtained from the models for the two indicators, number of people leaving and average walking speed, a model that reproduces the pedestrian flow in a congested situation is verified
Summary
Urban areas have witnessed increased pedestrian congestion at certain high-travel times. These methods are not always applicable when assuming laminar flow during congestion In light of this background, this study proposes a pedestrian laminar flow simulation model without complicated condition settings that reproduces multiple groups’ walking patterns with laminar flow under congested conditions by combining simple existing models including the social-force model, following behavior model, and Boids model. Using this proposed model, we will be able to simulate how pedestrians can be guided to certain passages in similar situations during rush hours in the most appropriate way. Based on the obtained results, we evaluate the number of rows and pedestrian density under which people can walk comfortably
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