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

  • Wenxing Xu
  • , Weibin Bian
  • , Wanhong Wang
  • , Cai Liu
  • , Jun Zhuang
  • Beijing Institute of Petrochemical Technology
  • Beijing University of Chemical Technology

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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.

Original languageEnglish
Pages (from-to)1136-1140
Number of pages5
JournalHuagong Xuebao/CIESC Journal
Volume69
Issue number3
DOIs
StatePublished - Mar 1 2018

Keywords

  • Dijkstra algorithm
  • Model
  • Optimization
  • Safety
  • Traffic service level
  • Vehicle transportation

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