Spontaneous path selection for hazardous chemical transportation based on real-time traffic condition

XU Wenxing; BIAN Weibin; WANG Wanhong; LIU Cai; ZHUANG Jun

doi:10.11949/j.issn.0438-1157.20171522

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Spontaneous path selection for hazardous chemical transportation based on real-time traffic condition

更新时间：2025-12-10

- Spontaneous path selection for hazardous chemical transportation based on real-time traffic condition
- CIESC Journal Issue 3, Pages: 1136-1140(2018)
- 作者机构：
  
  1. 北京石油化工学院信息工程学院,北京,102617
  2. 北京化工大学信息科学与技术学院,北京,100029
  3. 北京石油化工学院化学工程学院,北京,102617
  4. 纽约州立大学布法罗分校工业系统工程系,纽约,美国,14228
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20171522
  CLC： Q086.52U116.2
- Online First：05 March 2018，
  
  Published：05 March 2018
- 稿件说明：
移动端阅览
XU Wenxing, BIAN Weibin, WANG Wanhong, et al. Spontaneous path selection for hazardous chemical transportation based on real-time traffic condition[J]. CIESC Journal, 2018, (3): 1136-1140.
DOI：

XU Wenxing, BIAN Weibin, WANG Wanhong, et al. Spontaneous path selection for hazardous chemical transportation based on real-time traffic condition[J]. CIESC Journal, 2018, (3): 1136-1140. DOI： 10.11949/j.issn.0438-1157.20171522.

摘要

为了及时处理复杂的路面信息，在安全的前提下提高危化品运输效率，提升危险化学品运输服务质量，引入交通服务水平对路段信息进行简便化处理，并提出了基于实时路面信息的危化品路径优化方法。首先，利用道路的历史信息进行初始路径规划；其次，在车辆行驶过程中实时更新其前方规划路段的道路服务水平，并进行局部路径更新，直至车辆到达终点，从而实现了危化品车辆运输路径全局规划与实时局部更新的结合。最后，将其应用于中国航油集团北京石油有限公司到中石油北苑加油站运输路线规划，验证了方法的可行性。

Abstract

With more automobiles on road

the chance of accidents involving hazardous chemical transportation vehicles increases. In order to handle complex road conditions and to improve transportation efficiency and service quality

real-time traffic conditions were introduced to alert hazardous chemical vehicles and a method of spontaneous update on path planning was proposed. First

historical traffic data was used for initial route planning. Then

as vehicle was moving forward

real-time road information on next segment of the planned path was updated and alternative local path might be selected according to traffic condition. The iteration was continued until the destination was reached. In this way

combination of global planning and spontaneous local optimization was realized for transportation path of hazardous chemical vehicles. The method effectiveness was validated on path planning between Beijing Petroleum Co. Ltd of China Aviation Oil and Beiyuan gas station of China Sinopec.

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