Add to ORKGPredict potential traffic flow problems based on behavioural anomaliesPredict potential traffic flow problems based on behavioural anomalie
202310 bcchAccepted ManuscriptRGCOthersNational Natural Science Foundation of China; China Postdocto...
Reliable and accurate short-term traffic prediction plays a key role in modern intelligent transport...
This thesis proposes methodologies to monitor traffic anomalies using microscopic traffic variables ...
Detection and analysis of traffic anomalies are important for the development of intelligent transpo...
Various participants in urban traffic systems intertwine a highly complicated coupling network. An i...
Abstract—We propose a novel two-step mining and optimiza-tion framework for inferring the root cause...
Accidents, weather conditions, and roadway geometrics are studied to predict where accidents will ha...
In recent years, traffic congestion prediction has led to a growing research area, especially of mac...
This method of prediction using the data mining to analyze huge amounts of data as a preferred tool ...
Circumstance is essentially too surely understood to every one of us. You're on your route, when out...
Trajectory data is becoming more and more popular nowadays and extensive studies have been conducted...
The paper deals with the short-term prediction of road traffic conditions within Intelligent Transpo...
Nowadays traffic congestion has become significantly worse. Not only has it led to economic losses, ...
Traffic jams and traffic incidences can be prevalent in big urban cities, with increasing frequencie...
Intelligent Transport Systems (ITS) is a field that has developed rapidly over the last two decades,...
202310 bcchAccepted ManuscriptRGCOthersNational Natural Science Foundation of China; China Postdocto...
Reliable and accurate short-term traffic prediction plays a key role in modern intelligent transport...
This thesis proposes methodologies to monitor traffic anomalies using microscopic traffic variables ...
Detection and analysis of traffic anomalies are important for the development of intelligent transpo...
Various participants in urban traffic systems intertwine a highly complicated coupling network. An i...
Abstract—We propose a novel two-step mining and optimiza-tion framework for inferring the root cause...
Accidents, weather conditions, and roadway geometrics are studied to predict where accidents will ha...
In recent years, traffic congestion prediction has led to a growing research area, especially of mac...
This method of prediction using the data mining to analyze huge amounts of data as a preferred tool ...
Circumstance is essentially too surely understood to every one of us. You're on your route, when out...
Trajectory data is becoming more and more popular nowadays and extensive studies have been conducted...
The paper deals with the short-term prediction of road traffic conditions within Intelligent Transpo...
Nowadays traffic congestion has become significantly worse. Not only has it led to economic losses, ...
Traffic jams and traffic incidences can be prevalent in big urban cities, with increasing frequencie...
Intelligent Transport Systems (ITS) is a field that has developed rapidly over the last two decades,...
202310 bcchAccepted ManuscriptRGCOthersNational Natural Science Foundation of China; China Postdocto...
Reliable and accurate short-term traffic prediction plays a key role in modern intelligent transport...
This thesis proposes methodologies to monitor traffic anomalies using microscopic traffic variables ...