Temporal pattern mining of urban traffic volume data: A pairwise hybrid clustering method
Multiple pattern analyses of traffic data have been conducted previously; however, it has yet
to be explored with an awareness of temporal factors in big real-world traffic data. In this …
to be explored with an awareness of temporal factors in big real-world traffic data. In this …
Detection of clusters in traffic networks based on spatio‐temporal flow modeling
Spatio‐temporal clustering is a highly active research topic and a challenging issue in spatio‐
temporal data mining. Many spatio‐temporal clustering methods have been designed for …
temporal data mining. Many spatio‐temporal clustering methods have been designed for …
Application of clustering algorithms for spatio-temporal analysis of urban traffic data
D Toshniwal, N Chaturvedi, M Parida, A Garg… - Transportation Research …, 2020 - Elsevier
The large vehicle movement traffic datasets offer a lot of great opportunities for the evolution
of new methodologies for the analysis of the transportation system. However, deriving …
of new methodologies for the analysis of the transportation system. However, deriving …
Fluctuation similarity modeling for traffic flow time series: A clustering approach
S Jiang, S Wang, Z Li, W Guo… - 2015 IEEE 18th …, 2015 - ieeexplore.ieee.org
Traffic time series analysis is important because of its use in traffic control and travel time
prediction. In this paper, we discuss how to cluster traffic time series that have similar …
prediction. In this paper, we discuss how to cluster traffic time series that have similar …
Temporal evolution of short‐term urban traffic flow: a nonlinear dynamics approach
EI Vlahogianni, MG Karlaftis… - Computer‐Aided Civil …, 2008 - Wiley Online Library
Recognizing temporal patterns in traffic flow has been an important consideration in short‐
term traffic forecasting research. However, little work has been conducted on identifying and …
term traffic forecasting research. However, little work has been conducted on identifying and …
Multidimensional data mining of traffic anomalies on large-scale road networks
The identification and characterization of traffic anomalies on massive road networks is a
vital component of traffic monitoring and control. Anomaly identification can be used to …
vital component of traffic monitoring and control. Anomaly identification can be used to …
Cluster analysis of day-to-day traffic data in networks
Day-to-day traffic data has been widely used in transportation planning and management.
However, with the emerging of new technologies, one conventional assumption, on which …
However, with the emerging of new technologies, one conventional assumption, on which …
[PDF][PDF] Analysis of urban traffic patterns using clustering
WAM Weijermars - 2007 - research.utwente.nl
As a result of demographic, economic, land use and international developments, mobility is
still increasing (MinVenW, 2004). According to the Dutch Ministry of Transport, Public Works …
still increasing (MinVenW, 2004). According to the Dutch Ministry of Transport, Public Works …
Detecting urban anomalies using factor analysis and one class support vector machine
The detection of anomalies in spatiotemporal traffic data is not only critical for intelligent
transportation systems and public safety but also very challenging. Anomalies in traffic data …
transportation systems and public safety but also very challenging. Anomalies in traffic data …
Traffic anomaly detection via conditional normalizing flow
Traffic congestion anomaly detection is of paramount importance in intelligent traffic
systems. The goals of transportation agencies are two-fold: to monitor the general traffic …
systems. The goals of transportation agencies are two-fold: to monitor the general traffic …