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Coordinated, Efficient and Optimized Crowd Evacuation in Urban Complexes

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Advances in Harmony Search, Soft Computing and Applications (ICHSA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1063))

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Abstract

With the development of the city, more and more urban complexes which are areas combine leisure, repast, and trade functions have emerged in our daily life. However, as the increasing of people in urban complexes, the danger of security incidents increases. Therefore, how to evacuate the crowd after a security incident as soon as possible has become a crucial issue. Evacuation not only refers to the process of transferring crowd from indoors to outdoors but also transfers the outdoor crowd to safe places by means of transportation, such as taxis, buses, subways and so on. To this end, we establish a human-vehicle collaborative evacuation system(HVCES) in Suzhou Center which is one of the largest and most advanced urban complexes in China. Based on the system, we obtain a safer and optimal vehicles scheduling strategy with heuristic algorithms to reduce the probability of an accident during the evacuation.

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References

  1. Helbing, D., Molnar, P.: Social force model for pedestrian dynamics. Phys. Rev. E Stat. Phys. Plasmas Fluids Relat. Interdisc. Top. 51(5), 4282 (1998). https://doi.org/10.1103/PhysRevE.51.4282

    Article  Google Scholar 

  2. Zhou, X., Jingjie, H., Xiongziyan, X.: Cellular automaton simulation of pedestrian flow considering vision and multi-velocity. Physica A S0378437118311786 (2018). https://doi.org/10.1016/j.physa.2018.09.041

    Article  Google Scholar 

  3. Tao, Y.Z., Dong, L.Y.: A floor field real-coded lattice gas model for crowd evacuation. Epl 119(1), 10003 (2017). https://doi.org/10.1209/0295-5075/119/10003

    Article  Google Scholar 

  4. Tan, L., Hu, M., Lin, H.: Agent-based simulation of building evacuation: combining human behavior with predictable spatial accessibility in a fire emergency. Inf. Sci. 295, 53–66 (2015). https://doi.org/10.1016/j.ins.2014.09.029

    Article  MathSciNet  Google Scholar 

  5. Bera, A., Manocha, D.: Realtime multilevel crowd tracking using reciprocal velocity obstacles (2014). https://doi.org/10.1109/ICPR.2014.714

  6. Kinateder, M., Comunale, B., Warren, W.H.: Exit choice in an emergency evacuation scenario is influenced by exit familiarity and neighbor behavior. Saf. Sci. 106, 170–175 (2018). https://doi.org/10.1016/j.ssci.2018.03.015

    Article  Google Scholar 

  7. Qureshi, A.H., et al.: Re-planning using delaunay triangulation for real time motion planning in complex dynamic environments. In: 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE (2018)

    Google Scholar 

  8. Gonzalez, D., et al.: A review of motion planning techniques for automated vehicles. IEEE Trans. Intell. Transp. Syst. 17(4), 1–11 (2015). https://doi.org/10.1109/TITS.2015.2498841

    Article  Google Scholar 

  9. Geraerts, R., et al.: Using the corridor map method for path planning for a large number of characters. Motion in Games. Springer Berlin Heidelberg (2008). https://doi.org/10.1007/978-3-540-89220-5_2

    Chapter  Google Scholar 

  10. Oliva, R., Pelechano, N.: Automatic Generation of Suboptimal NavMeshes. In: International Conference on Motion in Games Springer, Berlin (2011). https://doi.org/10.1007/978-3-642-25090-3_28

    Chapter  Google Scholar 

  11. Ondrej, J., Pettr, J., Olivier, A.-H., et al.: A synthetic-vision based steering approach for crowd simulation. ACM Trans. Graphics 29(4), 1 (2010). https://doi.org/10.1145/1833351.1778860

    Article  Google Scholar 

  12. Narain, R., et al.: Aggregate Dynamics for Dense Crowd Simulation. ACM Trans. Graphics 28(5), 1–8 (2009). https://doi.org/10.1145/1618452.1618468

    Article  Google Scholar 

  13. Masuda, S., Nakamura, H., Kajitani, K.: Rule-based searching for collision test cases of autonomous vehicles simulation. IET Intell. Transp. Syst. 12(9), 1088–1095 (2018). https://doi.org/10.1049/iet-its.2018.5335

    Article  Google Scholar 

  14. Hou, L., et al.: A social force evacuation model with the leadership effect. Physica A 400(4), 93-99. https://doi.org/10.1016/j.physa.2013.12.049

    Article  Google Scholar 

  15. Wan, J., Sui, J., Yu, H.: Research on evacuation in the subway station in China based on the Combined Social Force Model. Physica A 394, 33–46 (2014). https://doi.org/10.1016/j.physa.2013.09.060

    Article  Google Scholar 

  16. Luh, P.B., et al.: Modeling and optimization of building emergency evacuation considering blocking effects on crowd movement. IEEE Trans. Autom. Sci. Eng. 9(4), 687–700 (2012). https://doi.org/10.1109/tase.2012.2200039

    Article  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. University of Science and Technology of China, Suzhou, China

    Huabin Feng, Shiyang Qiu, Peng Xu, Shuaifei Song, Wei Zheng & Hengchang Liu

Authors
  1. Huabin Feng
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  2. Shiyang Qiu
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  3. Peng Xu
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  4. Shuaifei Song
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  5. Wei Zheng
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  6. Hengchang Liu
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Corresponding author

Correspondence to Huabin Feng .

Editor information

Editors and Affiliations

  1. School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, Korea (Republic of)

    Joong Hoon Kim

  2. Department of Energy IT , Gachon University, Seongnam, Kwangju-jikhalsi, Korea (Republic of)

    Zong Woo Geem

  3. Keimyung University, Daegu, Korea (Republic of)

    Donghwi Jung

  4. Department of Civil Engineering, Suwon University, Gyeonggi-do, Korea (Republic of)

    Do Guen Yoo

  5. Department of Mathematics, Dr. BR Ambedkar National Institute of Technology, Jalandhar, India

    Anupam Yadav

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Feng, H., Qiu, S., Xu, P., Song, S., Zheng, W., Liu, H. (2020). Coordinated, Efficient and Optimized Crowd Evacuation in Urban Complexes. In: Kim, J., Geem, Z., Jung, D., Yoo, D., Yadav, A. (eds) Advances in Harmony Search, Soft Computing and Applications. ICHSA 2019. Advances in Intelligent Systems and Computing, vol 1063. Springer, Cham. https://doi.org/10.1007/978-3-030-31967-0_17

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