Title: Bilevel Optimization for Traffic Mitigation in Optimal Transport Networks Show Chinese title

Title: 用于最优运输网络中交通缓解的分层优化

Abstract: Global infrastructure robustness and local transport efficiency are critical requirements for transportation networks. However, since passengers often travel greedily to maximize their own benefit and trigger traffic jams, overall transportation performance can be heavily disrupted. We develop adaptation rules that leverage Optimal Transport theory to effectively route passengers along their shortest paths while also strategically tuning edge weights to optimize traffic. As a result, we enforce both global and local optimality of transport. We prove the efficacy of our approach on synthetic networks and on real data. Our findings on the International European highways suggest that thoughtfully devised routing schemes might help to lower car-produced carbon emissions. Show Chinese abstract

Abstract: 全球基础设施的鲁棒性和局部运输效率是交通网络的关键要求。 然而，由于乘客通常贪婪地旅行以最大化自身利益并引发交通拥堵，整体运输性能可能会受到严重干扰。 我们制定了适应规则，利用最优传输理论来有效引导乘客沿最短路径行驶，同时战略性地调整边权重以优化交通。 结果，我们实现了运输的全局和局部最优性。 我们在合成网络和真实数据上证明了我们方法的有效性。 我们在国际欧洲高速公路上的研究结果表明，精心设计的路由方案可能有助于降低汽车产生的碳排放。