摘要
针对复杂的交通网络和动态变化的交通流客流量预测问题,研究分析了公路交通网客流量预测的现状,并基于灰色马尔科夫模型进行交通网客流量预测。结果表明,灰色马尔科夫模型预测效果优于指数平滑法和模糊线性回归模型,证明了其在预测稳定性和准确度方面的显著优势。
Aiming at the complex traffic network and dynamically changing traffic flow passenger flow prediction problems,the study analyses the current situation of passenger flow prediction in road traffic network and carries out traffic network passenger flow prediction based on grey Markov model.The results show that the grey Markov model prediction effect is better than the exponential smoothing method and fuzzy linear regression model,proving its significant advantages in prediction stability and accuracy.
作者
高梦尧
GAO Meng-yao(Baoding Baotong Investigation and Design ofHighway Co.Ltd.,Baoding 071000,China)
出处
《工程建设与设计》
2025年第3期120-122,共3页
Construction & Design for Engineering
关键词
公路网
客流量预测
灰色理论
马尔科夫模型
highway network
passenger flow forecast
grey theory
Markov model
