在混合交通环境中的中队分散模型
1Faculty of Transportation Engineering, School of Traffic Engineering, Kunming University of Science and Technology, Kunming, 650000, China. chengwei_ding@kust.edu.cn.
Scientific reports
|November 4, 2023
概括
这项研究通过适应罗伯逊排队分散模型来增强交通流量建模,以适应混合交通环境. 改进后的模型准确地预测了流量,与原始模型相比,预测错误减少了5.89%.
科学领域:
- 交通工程是交通工程.
- 运输科学 运输科学
- 应用数学 应用数学 应用数学
背景情况:
- 排队的分散显著影响了交通流动的动态,特别是在混合交通环境中,不同的车型.
- 像罗伯逊这样的现有模型可能无法完全捕捉非机动车辆所带来的复杂性.
- 优化交通信号定时需要准确预测中队的分散.
研究的目的:
- 开发和验证用于混合交通条件的增强中队分散模型.
- 量化非机动车辆对排队分散的影响.
- 为改善混合交通场景中的交通信号定时提供理论基础.
主要方法:
- 调整罗伯逊的中队分散模型,以结合非机动车辆的影响.
- 推导非机动车辆百分比与模型参数之间的功能关系.
- 模型参数的校准使用现场数据从Zitai路,昆明.
- 经验验证通过将拟议模型与经典罗伯逊模型进行比较来验证.
主要成果:
- 拟议的模型有效地整合了不同比例的非机动车辆对排队分散的影响.
- 现场数据分析为适应的罗伯逊模型产生了特定参数.
- 与经典模型相比,增强模型显示平均预测平均平方误差减少了5.89%.
结论:
- 修改后的排分散模型提供了在混合环境中更准确地表示交通流.
- 交通信号定时优化可以从这种对非机动车辆影响的排队分散的增强理解中受益.
- 该研究提供了一种验证的方法,用于模拟异质交通流中的交通动态.
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