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An Improved Critical-Edge Model for Finding Optimal Contraflow Links Considering the Influence of Intersections

Author

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  • Junwen Mo
  • Mingxia Gao
  • Liqiao Liu

Abstract

A reversible roadway (contraflow) is one in which the direction of traffic flow in one or more lanes is reversed to the opposing direction for some period of time. Reversible roadways are most commonly used for accommodating directionally imbalanced traffic associated with daily commuter periods. Reversible lanes also have been widely used, in recent years, for evacuating major metropolitan regions threatened by hurricanes and other disasters. One important problem in the practice of evacuation traffic organization is the choice of road links for contraflow. Most research on the choice of contraflow links does not consider the influence of intersections, which leads to overestimation of evacuation capacity especially in congested urban road networks. We abstract an evacuation road network as a special network with directional node-weights by considering the capacity of intersection movements as directed weights of nodes. We define the critical edge for increasing the maximum flow value of such network as the one that can maximize the range of flow value increase by expanding its capacity. We obtain alternative links for contraflow by searching critical edges in such network. We presented a modified algorithm for finding such critical edges on the basis of the maximal capacity path algorithm for the classical maximum flow problem. We also provided a numerical example and tested the effects through traffic simulation. Our results show that the results considering the influence of intersections are more reasonable than those ignoring it and that taking the intersection effects into account enables us to reduce the total evacuation time.

Suggested Citation

  • Junwen Mo & Mingxia Gao & Liqiao Liu, 2019. "An Improved Critical-Edge Model for Finding Optimal Contraflow Links Considering the Influence of Intersections," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-7, July.
  • Handle: RePEc:hin:jnlmpe:8681417
    DOI: 10.1155/2019/8681417
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