Analysis of Near-Optimal Evacuation Instructions

被引:15
|
作者
Huibregtse, Olga L. [1 ]
Bliemer, Michiel C. J. [1 ]
Hoogendoorn, Serge P. [1 ]
机构
[1] Delft Univ Technol, NL-2628 CN Delft, Netherlands
来源
1ST CONFERENCE ON EVACUATION MODELING AND MANAGEMENT | 2010年 / 3卷
关键词
Evacuation; Instructions; Optimization; OPTIMIZATION;
D O I
10.1016/j.proeng.2010.07.018
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, approximations of optimal evacuation instructions are analyzed. The instructions, consisting of a departure time, a destination, and a route, are for the evacuation by car of a population of a region threatened by a hazard. An optimization method presented in earlier research is applied on three different hazard scenarios resulting in an instruction set for each scenario. These instruction sets are different because of network degeneration caused by the different hazard scenarios. Analysis of the network occupancy during the evacuations as consequence of the instruction sets shows that the capacity is used in the scenarios for minimal 87%, 90%, and 87% for the period wherein the effect of the network degeneration is relatively small. Although the results are logical, no clear patterns are perceptible in the instructions leading to this network occupancy. This endorses to the viewpoint from the earlier paper, namely, that is useful to apply an optimization method to create evacuation instructions instead of applying instructions set up by straightforward rules (like evacuating to the nearest destination). Furthermore, it shows the efficiency of this specific optimization method. (C) 2010 Published by Elsevier Ltd
引用
收藏
页码:189 / 203
页数:15
相关论文
共 50 条
  • [41] Near-optimal Individualized Treatment Recommendations
    Meng, Haomiao
    Zhao, Ying-Qi
    Fu, Haoda
    Qiao, Xingye
    JOURNAL OF MACHINE LEARNING RESEARCH, 2020, 21
  • [42] Efficient, near-optimal control allocation
    Durham, WC
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1999, 22 (02) : 369 - 372
  • [43] Near-optimal ground state preparation
    Lin, Lin
    Tong, Yu
    QUANTUM, 2020, 4
  • [44] Near-Optimal Instruction Selection on DAGs
    Koes, David Ryan
    Goldstein, Seth Copen
    CGO 2008: SIXTH INTERNATIONAL SYMPOSIUM ON CODE GENERATION AND OPTIMIZATION, PROCEEDINGS, 2008, : 45 - 54
  • [45] Near-optimal parallel prefetching and caching
    Kimbrel, T
    Karlin, AR
    SIAM JOURNAL ON COMPUTING, 2000, 29 (04) : 1051 - 1082
  • [46] Near-optimal parallel prefetching and caching
    Kimbrel, T
    Karlin, AR
    37TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS, 1996, : 540 - 549
  • [47] A Near-Optimal Mechanism for Impartial Selection
    Bousquet, Nicolas
    Norin, Sergey
    Vetta, Adrian
    WEB AND INTERNET ECONOMICS, 2014, 8877 : 133 - 146
  • [48] Near-optimal compression for compressed sensing
    Saab, Rayan
    Wang, Rongrong
    Yilmaz, Ozgur
    2015 DATA COMPRESSION CONFERENCE (DCC), 2015, : 113 - 122
  • [49] Generating Near-Optimal Survivable Topologies
    Morais, Rui Manuel
    Monteiro, Paulo
    Pinto, Armando Nolasco
    2012 14TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON 2012), 2012,
  • [50] On some classes of optimal and near-optimal polynomial codes
    Aydin, N
    Ray-Chaudhuri, DK
    FINITE FIELDS AND THEIR APPLICATIONS, 2004, 10 (01) : 24 - 35