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A Bilevel Flow Model For Hazmat Transportation Network Design

机译:危险品运输网络设计的双层流模型

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In this work we consider the following hazmat transportation network design problem. A given set of hazmat shipments has to be shipped over a road transportation network in order to transport a given amount of hazardous materials from specific origin points to specific destination points, and we assume there are regional and local government authorities that want to regulate the hazmat transportations by imposing restrictions on the amount of hazmat traffic over the network links. In particular, the regional authority aims to minimize the total transport risk induced over the entire region in which the transportation network is embedded, while local authorities want the risk over their local jurisdictions to be the lowest possible, forcing the regional authority to assure also risk equity. We provide a linear bilevel programming formulation for this hazmat transportation network design problem that takes into account both total risk minimization and risk equity. We transform the bilevel model into a single-level mixed integer linear program by replacing the second level (follower) problem by its KKT conditions and by linearizing the complementary constraints, and then we solve the M1P problem with a commercial optimization solver. The optimal solution may not be stable, and we provide an approach for testing its stability and for evaluating the range of its solution values when it is not stable. Moreover, since the bilevel model is difficult to be solved optimally and its optimal solution may not be stable, we provide a heuristic algorithm for the bilevel model able to always find a stable solution. The proposed bilevel model and heuristic algorithm are experimented on real scenarios of an Italian regional network.
机译:在这项工作中,我们考虑以下危险品运输网络设计问题。一组特定的危险品运输必须通过道路运输网络进行运输,以便将特定数量的有害物质从特定的始发地运输到特定的目的地,并且我们假设有区域和地方政府机构希望对危险品进行监管通过对网络链接上的危险品流量施加限制来进行运输。特别是,地区政府的目标是将交通网络所嵌入的整个区域的总运输风险降到最低,而地方政府希望将其所在地区的风险降到最低,从而迫使地区政府确保也要承担风险。公平。针对此危险品运输网络设计问题,我们提供了一个线性双层规划公式,该公式考虑了总风险最小化和风险公平性。通过用KKT条件替换第二级(从属)问题并线性化互补约束,将双级模型转换为单级混合整数线性程序,然后使用商业优化求解器解决M1P问题。最佳解可能不稳定,我们提供了一种方法来测试其稳定性并在不稳定时评估其解值的范围。此外,由于双层模型难以最优求解并且其最优解可能不稳定,因此我们为双层模型提供了一种启发式算法,能够始终找到稳定的解。所提出的双层模型和启发式算法在意大利区域网络的真实场景中进行了实验。

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