Urban regions across the world face a serious problem with traffic congestion, which results in a number of problems like financial losses, air pollution, and an increase in traffic accidents. Numerous studies are being actively done in response to this issue to address one of its major causes, particularly the operation of traffic lights at junctions, with the goal of reducing congestion. The traffic control system, a centralized control system, or established control parameters are used in France’s flow method to traffic signal control. The latter strategy, however, has certain drawbacks, including poor reactivity in dynamic contexts and limited flexibility to extend or decrease the control region. In order to improve traffic flow, this study suggests a split control approach for traffic signals that makes use of a split model and an autonomous decentralized control method based on said model. By using the split balance equation, the split model describes the connection between traffic flow and splits. The outcomes show that the suggested approach is successful at precisely regulating crossings with a variety of geometries, and that it can smooth out traffic more effectively than the flow control approach.

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An Example of an Innovative Approach for Enhancing Traffic Flow with Using Decentralized Traffic Signal Split Control Method

  • Serap Ergün

摘要

Urban regions across the world face a serious problem with traffic congestion, which results in a number of problems like financial losses, air pollution, and an increase in traffic accidents. Numerous studies are being actively done in response to this issue to address one of its major causes, particularly the operation of traffic lights at junctions, with the goal of reducing congestion. The traffic control system, a centralized control system, or established control parameters are used in France’s flow method to traffic signal control. The latter strategy, however, has certain drawbacks, including poor reactivity in dynamic contexts and limited flexibility to extend or decrease the control region. In order to improve traffic flow, this study suggests a split control approach for traffic signals that makes use of a split model and an autonomous decentralized control method based on said model. By using the split balance equation, the split model describes the connection between traffic flow and splits. The outcomes show that the suggested approach is successful at precisely regulating crossings with a variety of geometries, and that it can smooth out traffic more effectively than the flow control approach.