Extended social force model with a dynamic navigation field for bidirectional pedestrian flow
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 fundam...
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| Veröffentlicht in: | Frontiers of physics 2017-10, Vol.12 (5), p.181-189, Article 124502 |
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| container_title | Frontiers of physics |
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| creator | Jiang, Yan-Qun Chen, Bo-Kui Wang, Bing-Hong Wong, Weng-Fai Cao, Bing-Yang |
| description | 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. |
| doi_str_mv | 10.1007/s11467-017-0689-3 |
| format | Article |
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Phys</stitle><addtitle>Frontiers of Physics in China</addtitle><date>2017-10-01</date><risdate>2017</risdate><volume>12</volume><issue>5</issue><spage>181</spage><epage>189</epage><pages>181-189</pages><artnum>124502</artnum><issn>2095-0462</issn><eissn>2095-0470</eissn><abstract>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.</abstract><cop>Beijing</cop><pub>Higher Education Press</pub><doi>10.1007/s11467-017-0689-3</doi><tpages>9</tpages></addata></record> |
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| subjects | Astronomy Astrophysics and Cosmology Atomic Behavior bidirectional pedestrian flow collective phenomena complex systems Condensed Matter Physics Decision making dynamic navigation field Molecular Navigation Optical and Plasma Physics Ordinary differential equations Particle and Nuclear Physics Pedestrians Physics Physics and Astronomy Research Article Science Simulation social force model Velocity 交通流 决策过程 力模型 动态导航 扩展模型 社会 行人交通 运动方向 |
| title | Extended social force model with a dynamic navigation field for bidirectional pedestrian flow |
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