Modeling of Incident-Induced Capacity Loss for Hurricane Evacuation Simulation

被引:0
|
作者
Zhu, Yuan [1 ]
Ozbay, Kaan [2 ]
Xie, Kun [3 ]
Yang, Hong [4 ]
机构
[1] Inner Mongolia Univ, Transportat Inst, 24 Zhaojun Rd, Hohhot, Peoples R China
[2] NYU, C2SMART Ctr, 6 Metrotech Ctr, Brooklyn, NY 11201 USA
[3] Old Dominion Univ, Dept Civil & Environm Engn, 135 Kaufman Hall, Norfolk, VA 23529 USA
[4] Old Dominion Univ, Dept Modeling Simulat & Visualizat Engn, 4700 Elkhorn Ave, Norfolk, VA 23529 USA
来源
2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC) | 2019年
关键词
DURATION;
D O I
暂无
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Modeling and simulation of hurricane evacuation is an important task in emergency planning and management. One typically ignored factor that affects the development of a reliable evacuation model is the uncertainty caused by the incident-induced capacity loss. Lately, the impact of incidents on evacuation has drawn increasingly attention among researchers and practitioners, but few of them thoroughly investigated it using the real data in the modeling and simulation context. This study aims to investigate the impact of various types of incidents on modeling and simulation of hurricane evacuation. Particularly, the incidents that occurred under actual hurricane conditions are examined and their impact on the capacity loss is modeled. The developed incident frequency and duration models are incorporated into the network assignment model to study traffic conditions under hurricane Sandy in New York. Results show that the consideration of incident-induced capacity loss can greatly change the outcome of the evacuation model. Our findings suggest the need to include a well calibrated and validated traffic incident generation module for modeling and simulating hurricane evacuation.
引用
收藏
页码:613 / 618
页数:6
相关论文
共 50 条
  • [21] Estimation of incident-induced congestion on signalized arteries using traffic sensor data
    Zhang, Z. (zhangzuo@tsinghua.edu.cn), 1600, Tsinghua University Press (17):
  • [22] Incident-Induced Delays on Freeways Quantification Method by Grouping Similar Traffic Patterns
    Habtemichael, Filmon G.
    Cetin, Mecit
    Anuar, Khairul A.
    TRANSPORTATION RESEARCH RECORD, 2015, (2484) : 60 - 69
  • [23] Simulation and analysis of freeway lane reversal for coastal hurricane evacuation
    Williams, Billy M.
    Tagliaferri, Anthony P.
    Meinhold, Stephen S.
    Hummer, Joseph E.
    Rouphail, Nagui M.
    JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2007, 133 (01) : 61 - 72
  • [24] AGENT-BASED MODELING FOR HOUSEHOLD LEVEL HURRICANE EVACUATION
    Zhang, Bo
    Ukkusuri, Satish V.
    Chan, Wai Kin
    PROCEEDINGS OF THE 2009 WINTER SIMULATION CONFERENCE (WSC 2009 ), VOL 1-4, 2009, : 2638 - +
  • [25] Incorporating inland flooding into hurricane evacuation decision support modeling
    Kun Yang
    Rachel A. Davidson
    Humberto Vergara
    Randall L. Kolar
    Kendra M. Dresback
    Brian A. Colle
    Brian Blanton
    Tricia Wachtendorf
    Jennifer Trivedi
    Linda K. Nozick
    Natural Hazards, 2019, 96 : 857 - 878
  • [26] Modeling Evacuees' Intended Responses to a Phased Hurricane Evacuation Order
    Bian, Ruijie
    Murray-Tuite, Pamela
    Trainor, Joseph
    Edara, Praveen
    Triantis, Konstantinos
    APPLIED SCIENCES-BASEL, 2023, 13 (08):
  • [27] Incorporating inland flooding into hurricane evacuation decision support modeling
    Yang, Kun
    Davidson, Rachel A.
    Vergara, Humberto
    Kolar, Randall L.
    Dresback, Kendra M.
    Colle, Brian A.
    Blanton, Brian
    Wachtendorf, Tricia
    Trivedi, Jennifer
    Nozick, Linda K.
    NATURAL HAZARDS, 2019, 96 (02) : 857 - 878
  • [28] Developing a dynamic traffic management modeling framework for hurricane evacuation
    Barrett, B
    Ran, B
    Pillai, R
    TRANSPORTATION NETWORK PLANNING: PLANNING AND ADMINSTRATION, 2000, (1733): : 115 - 121
  • [29] Pitfall to avoid when estimating incident-induced delay by using deterministic queueing models
    Olmstead, Todd
    Transportation Research Record, 1999, (1683): : 38 - 46
  • [30] A quantum mechanics-based approach to model incident-induced dynamic driver behavior
    Sheu, Jiuh-Biing
    PHYSICA D-NONLINEAR PHENOMENA, 2008, 237 (13) : 1800 - 1814