Bi-level Programming for Optimization of Contraflow Lanes after Massive Activities
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摘要: 为了缓解大型活动后疏散期间的拥堵,建立了车道单行优化问题的双层规划模型.该模型考虑了交通组织者与参与者之间的共同作用.模型的上层模型的优化目标是总疏散时间最短,下层模型的优化目标是出行者自身疏散时间最短.将离散粒子群算法用于解决该双层规划问题.用简化的实际交通网络检验优化效果.实验结果表明,基于双层规划模型的车道单行方案能减少总疏散时间20%.Abstract: A bi-level programming optimization model was proposed to configure contraflow lanes around the site after a massive activity for quick evacuation.In the proposed model,both the decision by traffic authorities and the reaction by the traffic participants were considered.The upper model is to minimize the total evacuation time,and the lower one is an equilibrium model determined by every traffic participant.A discrete particle swarm optimization algorithm was used to solve the bi-level programming problem.The proposed optimization method was verified by a simplified actual traffic network.The simulation results indicate that the optimal contraflow lane setting based on the proposed model reduces the total evacuation time by at least 20%.
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Key words:
- bi-level programming /
- contraflow lane /
- large-scale event /
- particle swarm optimization /
- optimization
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