中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2021, Vol. 40 ›› Issue (03): 43-48.DOI: 10.3969/j.issn.1674-0696.2021.03.07

• 交通+大数据人工智能 • 上一篇    下一篇

高速公路危险货物运输人员暴露风险实时评价分析

陶健,王文君,庞夺峰,殷传峰   

  1. (山西省交通科技研发有限公司,山西 太原 030006)
  • 收稿日期:2018-08-09 修回日期:2019-12-25 出版日期:2021-03-15 发布日期:2021-03-15
  • 作者简介:陶健(1984—),男,山西朔州人,高级工程师,硕士,主要从事交通运输安全方面的研究。E-mail:taojian0606@163.com 通信作者:王文君(1980—),男,山西繁峙人,高级工程师,硕士,主要从事交通运输安全方面的研究。E-mail:394625433@qq.com
  • 基金资助:
    山西省交通运输厅科技计划项目(2016-1-23)

Real-Time Assessing the Personnel Exposed Risk of Hazardous Material Transport on Highway

TAO Jian, WANG Wenjun, PANG Duofeng, YIN Chuanfeng   

  1. (Shanxi Transportation Technology Research & Development Co., Ltd., Taiyuan 030006, Shanxi, China)
  • Received:2018-08-09 Revised:2019-12-25 Online:2021-03-15 Published:2021-03-15
  • Supported by:
     

摘要: 为更加准确和实时评估道路危险货物运输人员暴露风险,基于风险评价内容和危险货物运输卫星定位监管系统实时采集的车速和道路信息参数,建立高速公路危险货物运输人员暴露风险实时评价模型;重点研究了危险货物在高速公路运输过程中,平均车速分别与交通密度和高速服务区人员暴露量的函数关系,实时评价路上和人员密集区的人员暴露量,并考虑车型对平均车速的修正;实例分别对不同车速条件下和路过服务区时的运输风险进行评估。结果表明:车速和人员密集区对人员暴露风险影响显著,可进一步分解风险指标,提高风险评价的精度。同时该模型可实时评估运输动态风险,对辅助危险货物运输风险智能监管、降低运输风险有现实意义。

 

关键词: 交通运输工程, 危险货物运输, 高速公路, 人员暴露风险, 实时评价

Abstract: For more accurate real-time assessment of exposure risks of road transportation personnel of dangerous goods, a real-time evaluation model of exposure risks of highway transportation personnel of dangerous goods was proposed, which was based on the risk evaluation content, the vehicle speed and road information parameters collected by GPS vehicle monitoring system. The functional relationship between the average vehicle speed and the traffic density and the exposure of personnel in high-speed service area was focused when the dangerous goods were in highway transportation. The personnel exposure on roads and at densely populated areas was assessed in real time, and the correction of vehicle type to average speed was considered. The transportation risks were assessed by case study when vehicles were under different speed conditions and passing the service area. Results show that vehicle speed and population density exert significant effects on transportation personnel exposure risks. The proposed model can further decompose risk indicators and improve the accuracy of risk assessment, meanwhile, it can evaluate the dynamic risk of transportation in real time, which has practical significance to assist the intelligent supervision of dangerous goods transportation risk and reduce the transportation risk.

Key words: traffic and transportation engineering, hazardous material transport, highway, personnel exposed risk, real-time assessing

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