Automobile Engineering College, Shanghai University of Engineering Science, Shanghai, China.
Business School, University of Shanghai for Science and Technology, Shanghai, China.
PLoS One. 2018 Sep 28;13(9):e0204255. doi: 10.1371/journal.pone.0204255. eCollection 2018.
Traffic congestion in freeway network is a prevalent transportation problem and leads to a strong degradation of freeway network facilities. This paper proposes a new coordinated optimization approach for freeway network, aiming to relieve the traffic congestion in freeway network equipped with the coordinated traffic controllers. The challenge is how to solve the problem between the traffic control goals of each path and those of the network. In this paper, the bi-level programming theory is used to address this problem. More exactly, in the path level, the optimal control model is designed to relieve congestion in each path of the test network. Furthermore, in the network level, the optimal model considers the traffic equilibrium and cost optimization. The efficiency of the proposed approach is tested on a well-known traffic network calibrated by the field test data of freeway network. The results show that the proposed approach has positive effects in balancing traffic load and improving the service level of freeway networks.
高速公路网络中的交通拥堵是一个普遍存在的交通问题,导致高速公路网络设施严重降级。本文提出了一种新的高速公路网络协调优化方法,旨在缓解配备协调交通控制器的高速公路网络中的交通拥堵。挑战在于如何解决每条路径的交通控制目标与网络的交通控制目标之间的问题。在本文中,使用双层规划理论来解决这个问题。更确切地说,在路径级别,设计了最优控制模型来缓解测试网络中每条路径的拥堵。此外,在网络级别,最优模型考虑了交通均衡和成本优化。通过使用高速公路网络实地测试数据标定的著名交通网络对所提出方法的效率进行了测试。结果表明,该方法在平衡交通负荷和提高高速公路网络服务水平方面具有积极作用。