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@ARTICLE{Huang:1015016,
      author       = {Huang, Zhongyi and Fang, Zhiming and Ye, Rui and Chraibi,
                      Mohcine},
      title        = {{A} {M}atrix {T}ranslation {M}odel for {E}vacuation {P}ath
                      {O}ptimization},
      journal      = {IEEE transactions on intelligent transportation systems},
      volume       = {25},
      number       = {2},
      issn         = {1524-9050},
      address      = {New York, NY},
      publisher    = {Inst. of Electrical and Electronics Engineers},
      reportid     = {FZJ-2023-03544},
      pages        = {1374 - 1383},
      year         = {2024},
      abstract     = {In order to make the optimization of evacuationefficient
                      enough for application, a Matrix Translation Model(MTM) has
                      been developed. In MTM, a building is representedby using a
                      network and the matrices attached to the network,and the
                      crowd movement is simulated by translating matricesalong the
                      network. The performance of MTM was evaluated bycomparison
                      with a widely used commercial evacuation
                      simulator,Pathfinder. The results showed that with accurate
                      reproduction ofthe evacuation processes, MTM ran 10-15 times
                      and 29-37 timesfaster than Pathfinder’s flow-based (SFPE)
                      and agent-based(Steering) modes, respectively. Furthermore,
                      an evacuation pathoptimization method based on MTM is
                      proposed by balancing theuse of different exits. When run on
                      a laptop, the path optimizationof a building with 21 rooms
                      and 944 occupants took less than3 s. The optimized path was
                      verified by Pathfinder, showing thatapproximately 50 s of
                      the evacuation time was saved. MTMprovides a new framework
                      for evacuation simulation, i.e., thenetwork defines the path
                      connection, the matrix represents thespatial state, the
                      macroscopic rules drive the matrix translation,and the
                      microscopic rules limit the element transfer betweenthe
                      matrices. The path optimization algorithm developed basedon
                      the new framework offers new possibilities for
                      real-timeevacuation optimization of large buildings.},
      cin          = {IAS-7},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001071986100001},
      doi          = {10.1109/TITS.2023.3312519},
      url          = {https://juser.fz-juelich.de/record/1015016},
}