Tin T. Nguyen
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View article: Interpretable Representation and Customizable Retrieval of Traffic Congestion Patterns Using Causal Graph-Based Feature Associations
Interpretable Representation and Customizable Retrieval of Traffic Congestion Patterns Using Causal Graph-Based Feature Associations Open
The substantial increase in traffic data offers new opportunities to inspect traffic congestion dynamics from different perspectives. This paper presents a novel framework for the interpretable representation and customizable retrieval of …
View article: Pattern retrieval of traffic congestion using graph-based associations of traffic domain-specific features
Pattern retrieval of traffic congestion using graph-based associations of traffic domain-specific features Open
The fast-growing amount of traffic data brings many opportunities for revealing more insightful information about traffic dynamics. However, it also demands an effective database management system in which information retrieval is arguably…
View article: An Automated Detection Framework for Multiple Highway Bottleneck Activations
An Automated Detection Framework for Multiple Highway Bottleneck Activations Open
Highway bottlenecks are responsible for the majority of traffic congestion. Although the problem of bottleneck detection is not new, contemporary methods have not solved the problem thoroughly with regards to bottleneck locations, activati…
View article: Mapping the photovoltaic potential of the roads including the effect of traffic
Mapping the photovoltaic potential of the roads including the effect of traffic Open
After developing the methodology, we applied it to the case of the Netherlands highways. We show that the average irradiation on the Dutch highway network is around 880 kWh/m2/y, 35% less than the potential of an optimally tilted conventio…
View article: Feature extraction and clustering analysis of highway congestion
Feature extraction and clustering analysis of highway congestion Open
View article: Traffic Congestion Pattern Classification Using Multiclass Active Shape Models
Traffic Congestion Pattern Classification Using Multiclass Active Shape Models Open
Identifying and classifying traffic and congestion patterns are essential parts of modern traffic management underpinned by the emerging intelligent transport systems. This paper explores the potential of using a combination of image proce…