Volume 39 Issue 4
Aug.  2021
Turn off MathJax
Article Contents
DOU Xuejing, WANG Aihui, SUN Feifei. The Optimized Scheduling of Emergency Supplies in Highways Under Emergencies[J]. Journal of Transport Information and Safety, 2021, 39(4): 52-59. doi: 10.3963/j.jssn.1674-4861.2021.04.007
Citation: DOU Xuejing, WANG Aihui, SUN Feifei. The Optimized Scheduling of Emergency Supplies in Highways Under Emergencies[J]. Journal of Transport Information and Safety, 2021, 39(4): 52-59. doi: 10.3963/j.jssn.1674-4861.2021.04.007

The Optimized Scheduling of Emergency Supplies in Highways Under Emergencies

doi: 10.3963/j.jssn.1674-4861.2021.04.007
  • Received Date: 2021-01-30
  • The optimized scheduling of emergency supplies in highways is studied to reduce personal injury and property loss caused by emergencies. This paper considers the situations of road damage after accidents, uncertain demand for emergency supplies, and different demand urgency of each accident point. According to the states of road damage after an accident, the revised driving speed of the rescue vehicle is determined. The fuzzy emergency supplies demand of the accident spots is transformed into a determined value using triangular fuzzy theory. Based on the traditional TOPSIS method, subjective and objective methods are used to determine the weight of indicators. The type-B correlation degree is used to objectively describe the distance between the evaluation object and ideal solutions. The demand urgency coefficients of each accident point are obtained by the above method to ensure the fairness of scheduling. On this basis, a multi-objective optimization model of emergency supplies schedule is established for the threelevel dispatching network. Taking Ya'an Earthquake as a case study, the fast non-dominant sequential genetic algorithm with the elite strategy(NSGA-Ⅱ)is used to solve the model. The results show that introducing demand urgency into the emergency supplies schedule can realize the priority distribution of accident points with high demand urgency.The emergency supplies scheduling scheme saves the delivery time by 21%, reduces the vehicle transportation cost by 25%, and meets the supplies demand by 100%. Considering the post-disaster road damage and fuzzy demand, the schedule optimization of emergency supplies is more consistent with the actual situation.

     

  • loading
  • [1]
    陈方超, 管俊阳, 王道重, 等. 突发事件应急救援物资需求预测的方法研究[J]. 交通信息与安全, 2014, 32(4): 155-159. doi: 10.3963/j.issn.1674-4861.2014.04.028

    CHEN Fangchao, GUAN Junyang, WANG Daochong, et al. Method for emergency materials demand forecasting in sudden events[J]. Journal of Transport Information and Safety, 2014, 32(4): 155-159. (in Chinese) doi: 10.3963/j.issn.1674-4861.2014.04.028
    [2]
    胡晓伟, 宋浪, 杨滨毓, 等. 重大突发公共卫生事件下城市应急医疗物资优化调度研究[J]. 中国公路学报, 2020, 33(11): 55-64. doi: 10.3969/j.issn.1001-7372.2020.11.007

    HU Xiaowei, SONG Lang, YANG Binyu, et al. Research on the optimal matching of urban emergency medical supplies under major public health events[J]. China Journal of Highway and Transport, 2020, 33(11): 55-64. (in Chinese) doi: 10.3969/j.issn.1001-7372.2020.11.007
    [3]
    陈丰, 丁文龙, 叶一芃, 等. 公共卫生事件暴发初期的医疗物资调度优化[J]. 中国公路学报, 2020, 33(11): 65-72. doi: 10.3969/j.issn.1001-7372.2020.11.008

    CHEN Feng, DING Wenlong, YE Yipeng, et al. Optimal coordination model of medical commodities in the initial stage of the outbreak of public health events[J]. China Journal of Highway and Transport, 2020, 33(11): 65-72. (in Chinese) doi: 10.3969/j.issn.1001-7372.2020.11.008
    [4]
    BALCIK B. Site selection and vehicle routing for post-disaster rapid needs assessment[J]. Transportation Research Part E: Logistics and Transportation Review, 2017(101): 30-58.
    [5]
    李文霞, 张春民, 马昌喜. 多目标低碳车辆路径优化模型及求解算法[J]. 交通信息与安全, 2020, 38(1): 118-126+144. https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS202001018.htm

    LI Wenxia, ZHANG Chunmin, MA Changxi. An optimization model and solution algorithm of Multi-objective vehicle path under lowcarbon conditions[J]. Journal of Transport Information and Safety, 2020, 38(1): 118-126+144. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS202001018.htm
    [6]
    郭子雪, 郭亮, 张培, 等. 应急物资调度时间最小化模糊优化模型[J]. 中国安全科学学报, 2015, 25(10): 172-176. https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK201510031.htm

    GUO Zixue, GUO Liang, ZHANG Pei, et al. Time minimization model for emergency material dispatching based on triangle fuzzy information[J]. China Safety Science Journal, 2015, 25(10): 172-176. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK201510031.htm
    [7]
    HAGHI M, GHOMI S, JOLAI F. Developing a robust multi-objective model for pre/post disaster time under uncertainty in demand and resource[J]. Journal of Cleaner Production, 2017(154): 188-202.
    [8]
    RAHAFROOZ M, ALINAGHIAN M. A novel robust chance constrained possibilistic programming model for disaster relief logistics under uncertainty[J]. International Journal of Industrial Engineering Computations, 2016, 7(4): 649-670. http://www.growingscience.com/ijiec/Vol7/IJIEC_2016_7.pdf
    [9]
    范厚明, 吴嘉鑫, 耿静, 等. 模糊需求与时间窗的车辆路径问题及混合遗传算法求解[J]. 系统管理学报, 2020, 29(1): 107-118. doi: 10.3969/j.issn.1005-2542.2020.01.012

    FAN Houming, WU Jiaxin, GENG Jing, et al. Hybrid genetic algorithm for solving fuzzy demand and time windows vehicle routing problem[J]. Journal of System Management, 2020, 29(1): 107-118. (in Chinese) doi: 10.3969/j.issn.1005-2542.2020.01.012
    [10]
    程光. 考虑分配优先级和公路状态的震后应急物流LRP研究[D]. 哈尔滨: 东北农业大学, 2016.

    CHENG Guang. Study on the LRP of post-earthquake emergency logistics considering distribution priority and highway state[D]. Harbin: Northeast Agricultural University, 2016. (in Chinese)
    [11]
    SHAHPARVARI S, ABBASI B. Robust stochastic vehicle routing and scheduling for bushfire emergency evacuation: an australian case study[J]. Transportation Research Part A: Policy and Practice, 2017(104): 32-49. http://www.sciencedirect.com/science?_ob=ShoppingCartURL&_method=add&_eid=1-s2.0-S0965856416301793&originContentFamily=serial&_origin=article&_ts=1501724466&md5=1ea2a6e4153bdaee540e3266e224c866
    [12]
    SAKURABA C S, SANTOS A C, PRINS C, et al. Road network emergency accessibility planning after a major earthquake[J]. Euro Journal on Computational Optimization, 2016(5): 1-22. http://www.onacademic.com/detail/journal_1000039096953610_d1f1.html
    [13]
    NIKOO N, BABAEI M, MOHAYMANY A S. Emergency transportation network design problem: Identification and evaluation of disaster response routes[J]. International Journal of Disaster Risk Reduction, 2018(27): 7-20. http://www.onacademic.com/detail/journal_1000039987298010_cd57.html
    [14]
    赵朋, 王建伟, 孙茂棚, 等. 高速公路突发事件救援车辆诱导[J]. 中国公路学报, 2018, 31(9): 175-181. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201809021.htm

    ZHAO Peng, WANG Jianwei, SUN Maopeng, et al. Vehicle scheduling for mountainous expressway traffic emergency[J]. China Journal of Highway and Transport, 2018, 31(9): 175-181. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201809021.htm
    [15]
    赵建有, 韩万里, 郑文捷, 等. 重大突发公共卫生事件下城市应急医疗物资配送[J]. 交通运输工程学报, 2020, 20(3): 168-177. https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC202003020.htm

    ZHAO Jianyou, HAN Wanli, DENG Wenjie, et al. Distribution of emergency medical suppiles in cities under major public health emergencies[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 168-177. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC202003020.htm
    [16]
    SHEU J B. Dynamic relief-demand management for emergency logistics operations under large-scale disasters[J]. Transportation Research Part E: Logistics and Transportation Review, 2010(46): 1-17. http://www.onacademic.com/detail/journal_1000035445971310_69be.html
    [17]
    张玉州, 徐廷政, 郑军帅, 等. 考虑紧急度的救灾车辆路径问题建模与优化[J]. 计算机应用, 2019, 39(8): 2444-2449. https://www.cnki.com.cn/Article/CJFDTOTAL-JSJY201908043.htm

    ZHANG Yuzhou, XU Tingzheng, ZHENG Junshuai, et al. Modeling and optimization of disaster relief vehicle routing problem considering urgency[J]. Journal of Computer Application, 2019, 39(8): 2444-2449. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSJY201908043.htm
    [18]
    范杰. 震后初期救灾物资两阶段调度优化研究[D]. 北京: 北京交通大学, 2017.

    FAN Jie. Research on two-stage dispatching optimization of relief supplies early after the earthquake[D]. Beijing: Beijing Jiaotong University, 2017. (in Chinese)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(1)  / Tables(9)

    Article Metrics

    Article views (567) PDF downloads(16) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return