国际中文开源期刊平台

基于车辆轨迹的交叉口流量预测建模

Traffic Flow Prediction Modeling at Intersections Based on Vehicle Trajectory

现代交通技术前沿 / 2020,2(3)：79-88 / 2020-07-15 932 1194

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• 作者： 王吟枫*      黄幸文      林伟耀      叶梅茹     
• 单位：

  宁波工程学院建筑与交通工程学院，宁波

• 关键词： 车辆轨迹；流量预测；预测模型
• Vehicle trajectory; Flow forecast; Prediction model
• 摘要： 随着城市化和机动化的双重快速发展，我国各大城市的交通拥堵问题 日益严重，优化交叉口对缓解城市交通拥堵有着极其重要的作用。本研究利用 车辆轨迹大数据对目标交叉口流量预测的数学模型进行构建。本项目的研究成 果可直接用于交叉口信号配时优化、交叉口可变车道优化调整等管控措施，从 而达到提升交叉口通行能力，缓解城市交通拥堵的目的。
• With the rapid development of urbanization and motorization, the traffic congestion problem in major cities in China is becoming more and more serious, and optimizing intersections plays an extremely important role in alleviating urban traffic congestion. In this study, the mathematical model of traffic forecast at the target intersection is constructed by using the big data of vehicle trajectory. The research results of this project can be directly applied to control measures such as signal timing optimization at intersections, optimization and adjustment of variable lanes at intersections, etc., so as to improve the traffic capacity of intersections and alleviate urban traffic congestion.
• DOI： https://doi.org/10.35534/amtt.0203011
• 引用： 王吟枫，黄幸文，林伟耀，等．基于车辆轨迹的交叉口流量预测建模［J］．现代交通技术前沿，2020，2（3）：79-88．
  https://doi.org/10.35534/amtt.0203011