Microscopic Pedestrian Simulation Model to Evaluate "Lane-Like Segregation" of Pedestrian Crossing
Kardi Teknomo, Yasushi Takeyama, Hajime Inamura

TL;DR
This paper introduces a microscopic pedestrian simulation model based on physical forces to evaluate policy impacts on pedestrian crossing behavior before implementation, demonstrating its effectiveness through a case study.
Contribution
A novel microscopic pedestrian simulation model based on physical forces was developed to quantitatively assess policy impacts prior to implementation.
Findings
Lane-like segregation policy improves average speed and reduces delay.
Simulation results favor lane-like segregation over mixed-lane policies.
The model effectively predicts pedestrian behavior under different policies.
Abstract
One of the objectives of the pedestrian analysis is to evaluate the effects of proposed policy on the pedestrian facilities before its implementation. The implementation of a policy without pedestrian analysis might lead to a very costly trial and error due to the implementation cost (i.e. user cost, construction time and cost, etc.). On the other hand, using good analysis tools, the trial and error of policy could be done in the analysis level. Once the analysis could prove a good performance, the implementation of the policy is straightforward. The problem is how to evaluate the impact of the policy quantitatively toward the behavior of pedestrians before its implementation. Since the interaction of pedestrians cannot be well address using a macroscopic level of analysis, a microscopic level of analysis is the choice. However, the analytical solution of the microscopic pedestrian…
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Taxonomy
TopicsEvacuation and Crowd Dynamics · Traffic control and management · Transportation Planning and Optimization
