Link travel speeds in road networks are fundamental data in many research areas of traffic, transportation, and logistics. To support the research in these areas, we develop a dataset, containing the travel speeds on each road link and in different time periods together with the real road network map. The dataset is collected from a representative megacity in Western China, Chengdu. The road network of this city involves different urban road network structures. The dataset shows the realistic variations and randomness of urban link travel speeds. This enables the research of real data-driven decision-making problems in traffic, transportation and logistics areas.</p
Typical traffic modeling approaches, such as network-based methods and simulation models, have been ...
2013PDFTech Report49111-21-22Data filesTraffic modelsTravel patternsTraffic dataUrban travelReal tim...
We study the dynamical process of congestion formation for large-scale urban networks by exploring a...
Abstract Link travel speeds in road networks are essential data for a variety of research problems i...
This article presents a method to uncover universal patterns and similarities in the urban road netw...
Traffic flow characterizes vitality in commercial clusters, and the accurate prediction of traffic f...
As a fundamental traffic diagram, the speed-density relationship can provide a solid foundation for ...
10th International Conference of Hong Kong Society for Transportation Studies: Transportation and th...
Road traffic congestion is a common problem in most large cities, and exploring the root causes is e...
Road traffic congestion continues to manifest and propagate in cities around the world. The recent t...
A longer, wider and more complicated change in the travel path is put forward to adapt to the rapidl...
This is an urban traffic speed dataset which consists of 214 anonymous road segments (mainly consist...
Understanding how urban residents process road network information and conduct wayfinding is importa...
Abstract: For applications involving displacements around cities, planners cannot count on moving at...
While there is a well-studied body of literature on the relationship between the built environment a...
Typical traffic modeling approaches, such as network-based methods and simulation models, have been ...
2013PDFTech Report49111-21-22Data filesTraffic modelsTravel patternsTraffic dataUrban travelReal tim...
We study the dynamical process of congestion formation for large-scale urban networks by exploring a...
Abstract Link travel speeds in road networks are essential data for a variety of research problems i...
This article presents a method to uncover universal patterns and similarities in the urban road netw...
Traffic flow characterizes vitality in commercial clusters, and the accurate prediction of traffic f...
As a fundamental traffic diagram, the speed-density relationship can provide a solid foundation for ...
10th International Conference of Hong Kong Society for Transportation Studies: Transportation and th...
Road traffic congestion is a common problem in most large cities, and exploring the root causes is e...
Road traffic congestion continues to manifest and propagate in cities around the world. The recent t...
A longer, wider and more complicated change in the travel path is put forward to adapt to the rapidl...
This is an urban traffic speed dataset which consists of 214 anonymous road segments (mainly consist...
Understanding how urban residents process road network information and conduct wayfinding is importa...
Abstract: For applications involving displacements around cities, planners cannot count on moving at...
While there is a well-studied body of literature on the relationship between the built environment a...
Typical traffic modeling approaches, such as network-based methods and simulation models, have been ...
2013PDFTech Report49111-21-22Data filesTraffic modelsTravel patternsTraffic dataUrban travelReal tim...
We study the dynamical process of congestion formation for large-scale urban networks by exploring a...