2015-2016 > Academic research: refereed > Refereed conference paperAccepted ManuscriptPublishe
Road traffic congestion is majorproblem in urban area of both developing anddeveloped countries. In ...
AbstractNowadays GPS enabled devices are widely spread between drivers making the collection of GPS ...
Short-term traffic prediction (e.g., less than 15 min) is challenging due to severe fluctuations of ...
Traffic congestion is a major concern in many cities around the world. Previous work mainly focuses ...
2016-2017 > Academic research: refereed > Publication in refereed journalbcrcAccepted ManuscriptRGCO...
The study focuses on mapping spatiotemporal patterns and detecting the potential drivers of traffic ...
This method of prediction using the data mining to analyze huge amounts of data as a preferred tool ...
Nowadays traffic congestion has become significantly worse. Not only has it led to economic losses, ...
This paper predicts traffic congestion of urban road network by building machine learning models usi...
Trajectories based on GPS tracks have been studied for a number of years but only to a limited degre...
Abstract With the rapid adoption of wireless sensor networks (WSNs) into smart cities and vehicle n...
Vehicular traffic congestion is becoming a major problem in metropolitan cities throughout the world...
Mitigating traffic congestion on urban roads, with paramount importance in urban develop-ment and re...
Historical traffic sensor data–including speed, counts, and occupancy–was used to estimate levels of...
The discovery of spatio-temporal dependencies within urban road networks that cause Recurrent Conges...
Road traffic congestion is majorproblem in urban area of both developing anddeveloped countries. In ...
AbstractNowadays GPS enabled devices are widely spread between drivers making the collection of GPS ...
Short-term traffic prediction (e.g., less than 15 min) is challenging due to severe fluctuations of ...
Traffic congestion is a major concern in many cities around the world. Previous work mainly focuses ...
2016-2017 > Academic research: refereed > Publication in refereed journalbcrcAccepted ManuscriptRGCO...
The study focuses on mapping spatiotemporal patterns and detecting the potential drivers of traffic ...
This method of prediction using the data mining to analyze huge amounts of data as a preferred tool ...
Nowadays traffic congestion has become significantly worse. Not only has it led to economic losses, ...
This paper predicts traffic congestion of urban road network by building machine learning models usi...
Trajectories based on GPS tracks have been studied for a number of years but only to a limited degre...
Abstract With the rapid adoption of wireless sensor networks (WSNs) into smart cities and vehicle n...
Vehicular traffic congestion is becoming a major problem in metropolitan cities throughout the world...
Mitigating traffic congestion on urban roads, with paramount importance in urban develop-ment and re...
Historical traffic sensor data–including speed, counts, and occupancy–was used to estimate levels of...
The discovery of spatio-temporal dependencies within urban road networks that cause Recurrent Conges...
Road traffic congestion is majorproblem in urban area of both developing anddeveloped countries. In ...
AbstractNowadays GPS enabled devices are widely spread between drivers making the collection of GPS ...
Short-term traffic prediction (e.g., less than 15 min) is challenging due to severe fluctuations of ...
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