In this paper, a novel traffic analysis mechanism based on multidimensional hidden Markov model and the homogeneity measurement of the vehicular route and ...
Traffic Warning and Vehicular Homogeneity Measurement Based on. Multidimensional HMM Algorithm. Chang-Lung Tsai1 Wei-Lieh Hsu2. 1Department of Computer Science ...
In this paper, a novel traffic analysis mechanism based on multidimensional hidden Markov model and the homogeneity measurement of the vehicular route and ...
Chang-Lung Tsai, Wei-Lieh Hsu: Traffic Warning and Vehicular Homogeneity Measurement Based on Multidimensional HMM Algorithm. IIH-MSP 2009: 246-249.
Traffic trajectory data analysis technology based on HMM model ...
www.ncbi.nlm.nih.gov › PMC11078395
A map matching algorithm based on hidden Markov models is proposed in this study. The algorithm starts from the global route, selects K nearest candidate paths ...
Missing: Warning | Show results with:Warning
Oct 3, 2023 · This research introduces an approach to address MNAR-type missing data in traffic status prediction, utilizing a multidimensional feature ...
Missing: Warning Homogeneity
In this research, we propose a new algorithm called trendHMM map matching, which complements the assumptions of HMM.
Missing: Warning | Show results with:Warning
This research introduces an approach to address MNAR-type missing data in traffic status prediction, utilizing a multidimensional feature sequence and a second ...
Missing: Homogeneity | Show results with:Homogeneity
In this paper, a new model, based on Hidden Markov Model and Contrast, is proposed to define the traffic states during peak hours in two dimensional space (2D).
May 1, 2020 · In this paper, a driving intention prediction method based on hidden Markov model (HMM) is proposed for autonomous vehicles.