TY - GEN
T1 - An agent-based framework for evaluating location-based risk score in indoor emergency evacuation
AU - Cai, Tianlun
AU - Zheng, Hong
AU - Liu, Jiamou
AU - Wang, Yupan
AU - Gonzalez, Vicente
N1 - Publisher Copyright:
© 2020 Proceedings of the 37th International Symposium on Automation and Robotics in Construction, ISARC 2020: From Demonstration to Practical Use - To New Stage of Construction Robot. All rights reserved.
PY - 2020
Y1 - 2020
N2 - The evaluation of indoor risks is a paramount issue in building design and construction. Conventional methods that rely on handcrafted rules or drills are insufficient for this task as they either fail to accurately depict the sophisticated spatial attributes and people's cognition abilities or are not suitable during the design phase of the building. This paper puts forward a novel computational framework with a reinforcement learning-based paradigm to automatically assess the evacuation risk posed by the indoor space through intelligent agents. Our model focuses on the agent's exploration behaviours as it gains knowledge to locate the optimal path from an initial location to an exit. The cost of this knowledge acquisition process is then used to capture the risk posed by the initial location of the building. The work aims to shed new light on utilizing agent-based techniques in evaluating building safety.
AB - The evaluation of indoor risks is a paramount issue in building design and construction. Conventional methods that rely on handcrafted rules or drills are insufficient for this task as they either fail to accurately depict the sophisticated spatial attributes and people's cognition abilities or are not suitable during the design phase of the building. This paper puts forward a novel computational framework with a reinforcement learning-based paradigm to automatically assess the evacuation risk posed by the indoor space through intelligent agents. Our model focuses on the agent's exploration behaviours as it gains knowledge to locate the optimal path from an initial location to an exit. The cost of this knowledge acquisition process is then used to capture the risk posed by the initial location of the building. The work aims to shed new light on utilizing agent-based techniques in evaluating building safety.
KW - Agentbased evacuation
KW - Computational framework
KW - Indoor risk evaluation
KW - Reinforcement learning
UR - https://www.scopus.com/pages/publications/85109395457
M3 - Conference contribution
AN - SCOPUS:85109395457
T3 - Proceedings of the 37th International Symposium on Automation and Robotics in Construction, ISARC 2020: From Demonstration to Practical Use - To New Stage of Construction Robot
SP - 1396
EP - 1403
BT - Proceedings of the 37th International Symposium on Automation and Robotics in Construction, ISARC 2020
PB - International Association on Automation and Robotics in Construction (IAARC)
T2 - 37th International Symposium on Automation and Robotics in Construction: From Demonstration to Practical Use - To New Stage of Construction Robot, ISARC 2020
Y2 - 27 October 2020 through 28 October 2020
ER -