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| 001 | 1015016 | ||
| 005 | 20250204113734.0 | ||
| 024 | 7 | _ | |a 10.1109/TITS.2023.3312519 |2 doi |
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| 100 | 1 | _ | |a Huang, Zhongyi |0 0000-0002-8095-9267 |b 0 |
| 245 | _ | _ | |a A Matrix Translation Model for Evacuation Path Optimization |
| 260 | _ | _ | |a New York, NY |c 2024 |b Inst. of Electrical and Electronics Engineers |
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| 520 | _ | _ | |a 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. |
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| 700 | 1 | _ | |a Fang, Zhiming |0 0000-0001-7368-1183 |b 1 |
| 700 | 1 | _ | |a Ye, Rui |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Chraibi, Mohcine |0 P:(DE-Juel1)132077 |b 3 |e Corresponding author |u fzj |
| 773 | _ | _ | |a 10.1109/TITS.2023.3312519 |g p. 1 - 10 |0 PERI:(DE-600)2034300-0 |n 2 |p 1374 - 1383 |t IEEE transactions on intelligent transportation systems |v 25 |y 2024 |x 1524-9050 |
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