Journal
FRONTIERS OF PHYSICS
Volume 12, Issue 5, Pages -Publisher
HIGHER EDUCATION PRESS
DOI: 10.1007/s11467-017-0689-3
Keywords
bidirectional pedestrian flow; social force model; dynamic navigation field; collective phenomena; complex systems
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Funding
- National Natural Science Foundation of China [11202175, 11275186, 91024026, FOM2014OF001]
- Research Foundation of Southwest University of Science and Technology [10zx7137]
- Singapore Ministry of Education Research [MOE 2013-T2-2-033]
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An extended social force model with a dynamic navigation field is proposed to study bidirectional pedestrian movement. The dynamic navigation field is introduced to describe the desired direction of pedestrian motion resulting from the decision-making processes of pedestrians. The macroscopic fundamental diagrams obtained using the extended model are validated against camera-based observations. Numerical results show that this extended model can reproduce collective phenomena in pedestrian traffic, such as dynamic multilane flow and stable separate-lane flow. Pedestrians' path choice behavior significantly affects the probability of congestion and the number of self-organized lanes.
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