化工学报 ›› 2018, Vol. 69 ›› Issue (3): 1136-1140.DOI: 10.11949/j.issn.0438-1157.20171522

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基于交通服务水平的危化品运输实时路径规划

徐文星1, 边卫斌1,2, 王万红1,2, 刘才3, 庄峻4   

  1. 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, 美国 纽约 14228
  • 收稿日期:2017-11-17 修回日期:2017-12-06 出版日期:2018-03-05 发布日期:2018-03-05
  • 通讯作者: 庄峻
  • 基金资助:

    国家自然科学基金项目(61304217,21703013);北京市教育委员会科技计划项目(KM201510017003);北京市属高校青年拔尖人才培育计划项目(CIT&TCD201704048);国家留学基金委项目(201608110057)。

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

XU Wenxing1, BIAN Weibin1,2, WANG Wanhong1,2, LIU Cai3, ZHUANG Jun4   

  1. 1 College of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China;
    2 College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;
    3 College of Chemical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China;
    4 Department of Industrial and Systems Engineering, State University of New York at Buffalo, Buffalo 14228, NY, USA
  • Received:2017-11-17 Revised:2017-12-06 Online:2018-03-05 Published:2018-03-05
  • Supported by:

    supported by the National Natural Science Foundation of China (61304217, 21703013), the Scientific Research Common Program of Beijing Municipal Commission of Education (KM201510017003), the Cultivation Plan of Young Talents in Municipal Colleges and Universities (CIT&TCD201704048) and the China Scholarship Council (201608110057).

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。

关键词: 安全, 车辆运输, 交通服务水平, 优化, 模型, Dijkstra算法

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.

Key words: safety, vehicle transportation, traffic service level, optimization, model, Dijkstra algorithm

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