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随着经济的发展，危险品的运输量在大幅的增长，危险品对环境和人类的潜在风险在扩大。危险品运输事故一旦发生事故，可能会造成惨重的人员伤亡、长久的环境污染及巨大的经济损失。选择一条最佳的危险品运输路径，确保运输安全具有重要的意义。在相对发达的运输网络环境下通过最小化运输风险、最小化运营时间及最小化敏感目标人数,建立了危险品公路运输路径多目标决策模型,并利用基于决策者偏好信息的权重信息和开方乘方集成算子对3个目标函数进行集成,然后用扩展标号法计算最优折衷解,最后用一个例子验证了模型及算法的正确性和有效性。该方法有助于决策者在发达运输网络环境下选择合理的运输路径。

Highway Transportation Route Decision-Making of Hazardous Material in Developed Transportation Network

As the transport demand of hazardous material increases rapidly with the development of the economy, its potential risk imposed on the environment and humanity increases correspondingly. The transportation accident of the hazardous material always causes serious personnel casualty, long-time environmental pollution, and huge economic loss. Thus, it is rather important to ensure transportation safety by selecting the best transportation route of hazardous material. In this paper, in a relatively developed transportation network, the multiple objective decision-making model of highway transportation route is developed through minimum transportation risk, transportation time, and sensitive goal population. The three objective functions were integrated using the weighted information based on the preference information of decision-makers and integrated operator of evolution and involution. Then the optimal compromised solution was obtained using the development label algorithm. Finally, the numerical example proves the correctness and effectiveness of the model and the algorithm. This proposed method is helpful for determining the best transportation route under developed transportation network environment.