Coupling Urban Road Travel Time and Traffic Status from Vehicle Trajectories by Gaussian Distribution
Urban road travel time estimation is of great importance for intelligent transportation
applications, such as the vehicle navigation. With the ubiquitous sensing data, eg, the …
applications, such as the vehicle navigation. With the ubiquitous sensing data, eg, the …
Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data
Urban road travel time estimation and prediction on a citywide scale is a necessary and
important task for recommending optimal travel paths. However, this problem has not yet …
important task for recommending optimal travel paths. However, this problem has not yet …
Citywide spatial-temporal travel time estimation using big and sparse trajectories
K Tang, S Chen, Z Liu - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
Urban travel time estimation is a strategically important task for many levels of traffic
management and operation. Although a number of technologies regarding data and model …
management and operation. Although a number of technologies regarding data and model …
Citywide estimation of travel time distributions with Bayesian deep graph learning
JQ James - IEEE Transactions on Knowledge and Data …, 2021 - ieeexplore.ieee.org
Estimation of road link travel time serves a critical role in intelligent transportation operation
and management. Due to the uncertainty nature contributed by the volatile traffic, travel time …
and management. Due to the uncertainty nature contributed by the volatile traffic, travel time …
Personalized travel time estimation for urban road networks: A tensor-based context-aware approach
K Tang, S Chen, AJ Khattak - Expert Systems with Applications, 2018 - Elsevier
Urban travel time estimation is of significant importance at many levels of traffic operation
and transportation management. This paper develops a tensor-based context-aware …
and transportation management. This paper develops a tensor-based context-aware …
Freeway short-term travel time prediction based on dynamic tensor completion
Short-term travel time prediction is one of the key technologies of intelligent transportation
systems. Reliable systems that are able to provide accurate travel time information are …
systems. Reliable systems that are able to provide accurate travel time information are …
Bayesian model for constructing arterial travel time distributions using gps probe vehicles
Arterial travel time estimation is a challenging task in transportation engineering. The
increasing availability of vehicles which can access the GPS, have permitted general road …
increasing availability of vehicles which can access the GPS, have permitted general road …
Urban Traffic State Estimation with Online Car‐Hailing Data: A Dynamic Tensor‐Based Bayesian Probabilistic Decomposition Approach
Timely and precise traffic state estimation of urban roads is significant for urban traffic
management and operation. However, most of the advanced studies focus on building …
management and operation. However, most of the advanced studies focus on building …
Nei-TTE: Intelligent traffic time estimation based on fine-grained time derivation of road segments for smart city
With the development of the Internet of Things and big data technology, the intelligent
transportation system is becoming the main development direction of future transportation …
transportation system is becoming the main development direction of future transportation …
A tensor-based Bayesian probabilistic model for citywide personalized travel time estimation
K Tang, S Chen, Z Liu, AJ Khattak - Transportation Research Part C …, 2018 - Elsevier
Urban travel time information is of great importance for many levels of traffic management
and operation. This paper develops a tensor-based Bayesian probabilistic model for …
and operation. This paper develops a tensor-based Bayesian probabilistic model for …