Automatic Validation for Crowd Simulation: Test Suite for a Pedestrian Simulator Based on Different Scenarios

被引:0
|
作者
Zhou, Yayun [1 ]
Klein, Wolfram [1 ]
Mayer, Hermann Georg [1 ]
机构
[1] Siemens AG, Corp Technol, CT RTC AUC, Otto Hahn Ring 6, D-81739 Munich, Germany
关键词
D O I
10.1007/978-3-319-27753-0_8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Evacuation simulation and especially the determination of evacuation times is a very complex task. Moreover the prognosis of place and time of critical bottlenecks within the building during the evacuation is critical due to complex building structures and the correct pedestrian behavior. Therefore, an extensive validation and calibration of the simulation algorithms is an indispensable requirement for every simulation tool. An automatic test suite for different scenarios will facilitate this task yielding in proven, automated and reproducible results. The microscopic pedestrian simulator tested in this paper is developed by our group. The tool can be used to guide the crowd evacuation and prepare respond plans for emergent situations as reference to city council and law enforcement agency. It is important that the simulation results reveal the true behavior of pedestrian; for certain precaution actions can be taken in order to guarantee the safety of the crowd. In this paper, we documented the performance of our simulator tested with all 14 scenarios proposed by the RiMEA (Richtlinie fur Mikroskopische Entfluchtungs-Analysen) guideline. The test results show that our simulator passes all the tests. Moreover, our pedestrian simulator constantly improves its performance by cooperating with construction companies and government departments running on-site tests with first-hand data. Now it covers even emergency scenarios such as fire/smoke and floods.
引用
收藏
页码:146 / 164
页数:19
相关论文
共 50 条
  • [1] Guideline for Crowd Evacuation Simulation Validation of a Pedestrian Simulator with RiMEA Test Scenarios
    Zhou, Yayun
    Klein, Wolfram
    Mayer, Hermann Georg
    SMARTGREENS 2015 PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON SMART CITIES AND GREEN ICT SYSTEMS, 2015, : 35 - 42
  • [2] Smart IoT Cameras for Crowd Analysis based on augmentation for automatic pedestrian detection, simulation and annotation
    Rimboux, Antoine
    Dupre, Rob
    Daci, Eldriona
    Lagkas, Thomas
    Sarigiannidis, Panagiotis
    Remagnino, Paolo
    Argyriou, Vasileios
    2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS), 2019, : 304 - 311
  • [3] Automatic test patterns generation for simulation-based validation
    Jusas, V
    Seinauskas, R
    BEC 2002: PROCEEDINGS OF THE 8TH BIENNIAL BALTIC ELECTRONIC CONFERENCE, 2002, : 295 - 298
  • [4] Spatial activity-based modeling for pedestrian crowd simulation
    Qiu, Fasheng
    Hu, Xiaolin
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2013, 89 (04): : 451 - 465
  • [5] Robust Pedestrian Tracking in Crowd Scenarios Using an Adaptive GMM-based Framework
    Zhang, Shuyang
    Wang, Di
    Ma, Fulong
    Qin, Chao
    Chen, Zhengyong
    Liu, Ming
    2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2020, : 9992 - 9998
  • [6] Dynamic Data-Driven Simulation of Pedestrian Movement with Automatic Validation
    Porzycki, Jakub
    Lubas, Robert
    Mycek, Marcin
    Was, Jaroslaw
    TRAFFIC AND GRANULAR FLOW '13, 2015, : 129 - 136
  • [7] VALIDATION OF SEMI-AUTOMATIC SCORING OF DICENTRIC CHROMOSOMES AFTER SIMULATION OF THREE DIFFERENT IRRADIATION SCENARIOS
    Romm, H.
    Ainsbury, E.
    Barnard, S.
    Barrios, L.
    Barquinero, J. F.
    Beinke, C.
    Deperas, M.
    Gregoire, E.
    Koivistoinen, A.
    Lindholm, C.
    Moquet, J.
    Oestreicher, U.
    Puig, R.
    Rothkamm, K.
    Sommer, S.
    Thierens, H.
    Vandersickel, V.
    Vral, A.
    Wojcik, A.
    HEALTH PHYSICS, 2014, 106 (06): : 764 - 771
  • [8] A simulation model for pedestrian crowd evacuation based on various AI techniques
    Muhammed D.A.
    Saeed S.A.M.
    Rashid T.A.
    Revue d'Intelligence Artificielle, 2019, 33 (04) : 283 - 292
  • [9] Validation of pedestrian groups in agent-based simulation
    Szymanezyk, Olivier
    Dickinson, Patrick
    CONFERENCE ON PEDESTRIAN AND EVACUATION DYNAMICS 2014 (PED 2014), 2014, 2 : 706 - 714
  • [10] Automatic test suite generation based on labelled transition system
    Jiang, Fan
    Ning, Hua-Zhong
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2001, 38 (12):