An Improved Evacuation Guidance System Based on Ant Colony Optimization

被引:4
|
作者
Ohta, Asuka [1 ]
Goto, Hirotaka [1 ]
Matsuzawa, Tomofumi [1 ]
Takimoto, Munehiro [1 ]
Kambayashi, Yasushi [2 ]
Takeda, Masayuki [1 ]
机构
[1] Tokyo Univ Sci, Dept Informat Sci, Tokyo, Japan
[2] Nippon Inst Technol, Dept Comp & Informat Engn, Saitama, Japan
来源
INTELLIGENT AND EVOLUTIONARY SYSTEMS, IES 2015 | 2016年 / 5卷
关键词
Ant Colony Optimization; Route guidance system; Swarm intelligence; Disaster simulation; AGENTS;
D O I
10.1007/978-3-319-27000-5_2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes an evacuation guidance method for use in disaster situations. The method is based on ant colony optimization (ACO). We have implemented the method as ACO-based evacuation system in a simulator and examined the feasibility of the system. Since we cannot depend on the communication infrastructures with a disaster occurs, we make the system utilize mobile ad hoc network (MANET). We expect the ACO-based evacuation system produces quasi-optimized evacuation paths by the cooperation of multiple agents, while MANET provides communication between agents in the environment lacking of network infrastructure. Even though a number of ACO-based guidance systems have been developed, there are still some questions whether evacuees who follow the evacuation paths given by ACO are really safe. We examined how safe following these paths is by simulations, and found that they were not safe in some cases. As a result, in this paper, we propose an improved ACO-based evacuation system that equips deodorant pheromone to actively erase ACO pheromone traces when dangerous locations are found. Our simulation results show the use of deodorant pheromone can improve the safety level of the evacuation guidance system without degrading evacuation efficiency.
引用
收藏
页码:15 / 27
页数:13
相关论文
共 50 条
  • [1] Intelligent Indoor Evacuation Guidance System Based On Ant Colony Algorithm
    Hajjem, Manel
    Bouziri, Hend
    Talbi, El-Ghazali
    Mellonli, Khaled
    2017 IEEE/ACS 14TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2017, : 1035 - 1042
  • [2] An Improved Personnel Evacuation Cellular Automata Model Based on the Ant Colony Optimization Algorithm
    Wang Danqing
    Gong Qingge
    Shen Xiaofei
    APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 3287 - 3291
  • [3] Dynamic Evacuation Planning on Cruise Ships Based on an Improved Ant Colony System (IACS)
    Liu, Linfan
    Zhang, Huajun
    Xie, Jupeng
    Zhao, Qin
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 9 (02) : 1 - 16
  • [4] Evacuation path optimization based on quantum ant colony algorithm
    Liu, Min
    Zhang, Feng
    Ma, Yunlong
    Pota, Hemanshu Roy
    Shen, Weiming
    ADVANCED ENGINEERING INFORMATICS, 2016, 30 (03) : 259 - 267
  • [5] A terminal guidance algorithm based on ant colony optimization
    Nobahari, Hadi
    Nasrollahi, Saeed
    COMPUTERS & ELECTRICAL ENGINEERING, 2019, 77 : 128 - 146
  • [6] Parallel Ant Colony Optimization for Evacuation Planning
    Hajjem, Manel
    Bouziri, Hend
    Talbi, El-Ghazali
    Mellouli, Khaled
    PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCO'17 COMPANION), 2017, : 51 - 52
  • [7] Research on Emergency Evacuation of Tunnel Based on Improved Ant Colony Algorithm
    Zhang, Wei
    Shu, Zhibing
    SEVENTH INTERNATIONAL CONFERENCE ON TRAFFIC ENGINEERING AND TRANSPORTATION SYSTEM, ICTETS 2023, 2024, 13064
  • [8] Obstacle avoidance in the improved social force model based on ant colony optimization during pedestrian evacuation
    Yang, Xiaoli
    Yang, Xiaoxia
    Li, Yongxing
    Zhang, Jihui
    Kang, Yuanlei
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2021, 583
  • [9] Customer requirement acquisition system and requirement expression guidance based on ant colony optimization
    Yang, Qin
    Jiao, Haisen
    Song, Fei
    Pan, Gaofeng
    Wei, Daozhu
    ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (06): : 1 - 9
  • [10] A Prototype of Evacuation Support Systems Based on the Ant Colony Optimization Algorithm
    Kambayashi, Yasushi
    Konishi, Kota
    Sato, Rikiya
    Azechi, Kohei
    Takimoto, Munehiro
    INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, ISAT 2018, PT I, 2019, 852 : 324 - 333