Abstract
The rapid and orderly evacuation of passengers at the railway hub station in case of emergencies is an important issue for railway safety and efficiency. In this paper, a robot-guided passenger evacuation method is proposed to help passengers search evacuation paths and avoid potential risks. The number and initial positions of robots are determined by using a k-means clustering approach. The exit assignment and evacuation paths of robots are calculated by using a hybrid bi-level optimization approach taking into account the cooperative mechanism between robots. Then, a robot-guided crowd evacuation dynamical model is built based on a modified social force model, in which a navigation force is introduced to influence the speed and direction of evacuees. A case study of a typical railway hub station is used to demonstrate the effectiveness of the proposed approach. The scenarios of the mall and platform are designed to verify the evacuation efficiency under different robot distribution schemes. The experimental results prove that setting up robots can effectively reduce evacuation time, and the utilization of exits is more balanced. The proposed optimal scheme shows the best performance in evacuation efficiency, including evacuation time and exit utilization rate, compared to the uniform distribution scheme and no robot scheme.
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Zhou, M., Dong, H., Ioannou, P.A., Zhao, Y., Wang, F. -Y.: Guided crowd evacuation: approaches and challenges. IEEE/CAA Journal of Automatica Sinica 6(5), 1081–1094 (2019)
Tang, B., Jiang, C., He, H., Guo, Y.: Human mobility modeling for robot-assisted evacuation in complex indoor environments. IEEE Transactions on Human-Machine Systems 46(5), 694–707 (2016)
Boukas, E., Kostavelis, I., Gasteratos, A., Sirakoulis, G.C.: Robot guided crowd evacuation. IEEE Trans. Autom. Sci. Eng. 12(2), 739–751 (2014)
Sakour, I., Hu, H.: Robot Assisted Evacuation Simulation. In: 2016 8Th Computer Science and Electronic Engineering (CEEC), pp 112–117. IEEE (2016)
Garrell, A., Sanfeliu, A., Moreno-Noguer, F.: Discrete time motion model for guiding people in urban areas using multiple robots. In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp 486–491. IEEE (2009)
Garrell, A., Sanfeliu, A.: Local optimization of cooperative robot movements for guiding and regrouping people in a guiding mission. In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp 3294–3299. IEEE (2010)
Zhang, S., Guo, Y.: Distributed multi-robot evacuation incorporating human behavior. Asian Journal of Control 17(1), 34–44 (2015)
Nayyar, M., Wagner, A.R.: Effective Robot Evacuation Strategies in Emergencies. In: 2019 28Th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp 1–6. IEEE (2019)
Zhang, B., Amirian, J., Eberle, H., Pettré, J., Holloway, C., Carlson, T.: From hri to cri: Crowd robot interactionunderstanding the effect of robots on crowd motion. Int. J. Soc. Robot. 1–13 (2021)
Kim, Y.-D., Kim, Y.-G., Lee, S.-H., Kang, J.-H., An, J.: Portable fire evacuation guide robot system. In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp 2789–2794. IEEE (2009)
Jiang, C., Ni, Z., Guo, Y., He, H.: Robot-Assisted Pedestrian Regulation in an Exit Corridor. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp 815–822. IEEE (2016)
Jiang, C., Ni, Z., Guo, Y., He, H.: Learning human–robot interaction for robot-assisted pedestrian flow optimization. IEEE Transactions on Systems Man, and Cybernetics: Systems 49(4), 797–813 (2017)
Wan, Z., Jiang, C., Fahad, M., Ni, Z., Guo, Y., He, H.: Robot- assisted pedestrian regulation based on deep reinforcement learning. IEEE Transactions on Cybernetics 50(4), 1669–1682 (2018)
Jiang, C., Ni, Z., Guo, Y., He, H.: Pedestrian flow optimization to reduce the risk of crowd disasters through human–robot interaction. IEEE Transactions on Emerging Topics in Computational Intelligence 4(3), 298–311 (2019)
Sakour, I., Hu, H.: Robot-assisted crowd evacuation under emergency situations: a survey. Robotics 6(2), 8 (2017)
Liu, Z., Wu, B., Lin, H.: Coordinated Robot-Assisted Human Crowd Evacuation. In: 2018 IEEE Conference on Decision and Control (CDC), pp 4481–4486. IEEE (2018)
Bahamid, A., Ibrahim, A.M., Ibrahim, A., Zahurin, I.Z., Wahid, A.N.: Intelligent robot-assisted evacuation: A review. In: Journal of Physics: Conference Series, vol. 1706, p 012159. IOP Publishing (2020)
Khavas, Z.R., Ahmadzadeh, S.R., Robinette, P.: Modeling trust in human-robot interaction: A survey. In: International Conference on Social Robotics, pp 529–541. Springer (2020)
Robinette, P.: Developing Robots that Impact Human-Robot Trust in Emergency Evacuations. Ph.D. thesis, Georgia Institute of Technology (2015)
Robinette, P., Howard, A.M., Wagner, A.R.: Effect of robot performance on human-robot trust in time-critical situations. IEEE Transactions on Human-Machine Systems 47(4), 425–436 (2017)
Robinette, P., Li, W., Allen, R., Howard, A.M., Wagner, A.R.: Overtrust of robots in emergency evacuation scenarios. In: 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp 101–108. IEEE (2016)
Wagner, A.R.: Robot-guided evacuation as a paradigm for human-robot interaction research, Frontiers in Robotics and AI 8 (2021)
Shen, X., Guo, Y., Chen, Q., Hu, W.: Multi-robot path planning based on multiobjective co-evolutionary algorithm. Journal of Nanjing University of Aeronautics & Astronautics 40(2), 245–249 (2008)
Helbing, D., Molnar, P.: Social force model for pedestrian dynamics. Physical Review E 51 (5), 4282 (1995)
Helbing, D., Farkas, I.J., Molnar, P., Vicsek, T.: Simulation of pedestrian crowds in normal and evacuation situations. Pedestrian and Evacuation Dynamics 21(2), 21–58 (2002)
Ma, P., Wang, B.: The escape of pedestrians with view radius. Physica A: Statistical Mechanics and its Applications 392(1), 215–220 (2013)
Zhou, M., Dong, H., Zhao, Y., Ioannou, P.A., Wang, F.-Y.: Optimization of crowd evacuation with leaders in urban rail transit stations. IEEE Transactions on Intelligent Transportation Systems 20(12), 4476–4487 (2019)
Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407(6803), 487 (2000)
Yang, X., Dong, H., Wang, Q., Chen, Y., Hu, X.: Guided crowd dynamics via modified social force model. Physica A: Statistical Mechanics and its Applications 411, 63–73 (2014)
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The research in the paper was jointly supported by the National Natural Science Foundation of China (No.61925302, No.62103303), open research fund of The State Key Laboratory for Management and Control of Complex Systems (No. 20210104), and Key Project of China Railway Beijing Bureau Group Co., Ltd (No. 2020AY03).
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Zhou, M., Dong, H., Ge, S. et al. Robot-Guided Crowd Evacuation in a Railway Hub Station in Case of Emergencies. J Intell Robot Syst 104, 67 (2022). https://doi.org/10.1007/s10846-022-01594-4
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DOI: https://doi.org/10.1007/s10846-022-01594-4