Risk Field Model Construction and Risk Classification of Hazardous Chemical Transportation

被引：2
作者：
Chang, Lv [1 ]
Liu, Qiongqiong [2 ]
Yan, Jin [1 ]
Liu, Peng [2 ]
Zhu, Sida [1 ]
Hu, Xiaoming [1 ]
Ni, Jun [1 ]
Zhang, Tong [1 ]
机构：
[1] Huaiyin Inst Technol, Huaian, Peoples R China
[2] Jiangsu Vocat Coll Elect & Informat, Huaian, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2022年 / 2022卷
基金：
中国国家自然科学基金;
关键词：
Compendex;
D O I：
10.1155/2022/7075996
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
To reduce the risk of hazardous chemical road transportation, domestic and foreign scholars have analyzed transportation risks from theoretical points of view and built risk assessment models. Based on 483 cases of hazardous chemical road transportation accidents from 2015 to 2019, this paper analyzes the causes of accidents from the perspective of traffic regulations and constructs a risk Seld model of hazardous chemical transportation. Through the simulation of an accident by TruckSim, a risk classiScation is completed according to the risk Seld model of hazardous chemical transportation. The results show that the model can be used to evaluate the risk of hazardous chemical transportation in complex environments and provide criteria for the safe control of hazardous chemical transportation vehicles.
引用
收藏
页数：13
相关论文
共 20 条
  • [1] Energy harvesting sensitivity analysis and assessment of the potential power and full car dynamics for different road modes
    Abdelkareem, Mohamed A. A.
    Xu, Lin
    Guo, Xuexun
    Ali, Mohamed Kamal Ahmed
    Elagouz, Ahmed
    Hassan, Mohamed A.
    Essa, F. A.
    Zou, Junyi
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 110 : 307 - 332
  • [2] Cui J, 2016, INT J CIVIL ENG MACH, V1, P1
  • [3] Danhui Dong, 2016, 2016 13th International Conference on Service Systems and Service Management (ICSSSM), P1, DOI 10.1109/ICSSSM.2016.7538644
  • [4] Bayesian dynamic extreme value modeling for conflict-based real-time safety analysis
    Fu, Chuanyun
    Sayed, Tarek
    [J]. ANALYTIC METHODS IN ACCIDENT RESEARCH, 2022, 34
  • [5] GUN PARK IL, 2018, [Journal of the Korean Applied Science and Technology, 한국응용과학기술학회지], V35, P1393, DOI 10.12925/jkocs.2018.35.4.1393
  • [6] A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data
    Hu, Lin
    Bao, Xingqian
    Wu, Hequan
    Wu, Wenguang
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2020, 2020 (2020)
  • [7] Travel Time Prediction for Congested Freeways With a Dynamic Linear Model
    Kwak, Semin
    Geroliminis, Nikolas
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (12) : 7667 - 7677
  • [8] [李萌 Li Meng], 2018, [交通信息与安全, Journal of Transport Information and Safety], V36, P90
  • [9] Li Y., 2019, THESIS HUNAN U SCI T
  • [10] Luo Y., 2020, WATER TRANSPORTATION, V05, P22
12