Abstract
Incorporating decision-making capability as an intelligence aspect into crowd dynamics models is crucial factor for reproducing realistic pedestrian flow. Crowd dynamics models are still suffering from poor representation of essential behaviors such as lane changing behavior. In this article, we provide the simulated pedestrians in the social force model more intelligence as an extension to the pedestrian’s investigation capability in bidirectional walkways, to let the model appear more representative of what actually happens in reality. In the proposed model, the lane’s structure is modeled as social network. Thereby, the simulated pedestrians with inconvenient walking can detect the available lanes inside his environment, investigate their attractions, and then make decisions to join the most attractive one. Simulations are performed to validate the work qualitatively by tracing the behavior of the simulated pedestrians and studying the impact of this behavior on lane formation. Finally, a quantitative measurement is used to study the effect of our contribution on the pedestrians’ efficiency of motion.
Highlights
Massive congestion is a challenging problem which has attracted considerable number of researchers to devote much attention to pedestrian dynamics studies to provide solutions
Researchers have been provoked to improve simulations models to help simulate the aspects of the multidirectional pedestrian flow and correspondingly examine the solutions for better crowd behavior and environmental design
We propose a tactical model to be incorporated into the Social Force Model
Summary
Massive congestion is a challenging problem which has attracted considerable number of researchers to devote much attention to pedestrian dynamics studies to provide solutions. It is worth mentioning that detecting far lanes and joining them as a tactical level behavior have not been studied in the aforementioned studies Such behavior is commonly followed by pedestrians to alleviate their inconvenient walking, and this behavior is essential factor for presenting a well-representative model that performs the decision making capability with the consideration of lane-changing capability. The proposed model is based on the assumption that the pedestrian who walks inconveniently, because of the opposite flow, can detect lanes in order to join, to relieve his inconvenience. This ability is represented by the pedestrian investigating his current situation within his sights and making a short-term decision. Simulations to establish the results of our work are conducted
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