Short-Term Traffic Flow Prediction with Regime Switching Models
Author:
Affiliation:
1. Department of Civil and Environmental Engineering, University of South Carolina, 300 South Main, C115, Columbia, SC 29208.
Abstract
Publisher
SAGE Publications
Subject
Mechanical Engineering,Civil and Structural Engineering
Link
http://journals.sagepub.com/doi/pdf/10.1177/0361198106196500103
Reference33 articles.
1. Comparison of parametric and nonparametric models for traffic flow forecasting
2. A multivariate state space approach for urban traffic flow modeling and prediction
3. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results
4. Traffic Flow Forecasting: Comparison of Modeling Approaches
5. Dynamic prediction of traffic volume through Kalman filtering theory
Cited by 36 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Modelling intermittent anomalous diffusion with switching fractional Brownian motion;New Journal of Physics;2023-10-01
2. A novel hybrid deep learning model with ARIMA Conv-LSTM networks and shuffle attention layer for short-term traffic flow prediction;Transportmetrica A: Transport Science;2023-07-26
3. Cloud Model-Based Fuzzy Inference System for Short-Term Traffic Flow Prediction;Mathematics;2023-05-30
4. On the prediction of intermediate-to-long term bus section travel time with the Burr mixture autoregressive model;Transportmetrica A: Transport Science;2023-02-20
5. Detecting Changes in the Spatiotemporal Pattern of Bike Sharing: A Change-Point Topic Model;IEEE Transactions on Intelligent Transportation Systems;2022-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3