Travel time prediction is the basis for the implementation of advanced traveler information
systems and advanced transport management systems in intelligent transportation systems …

As the population keeps growing, traffic congestion happens more and more often.
Consequently, travel time has become an important indicator of driving experience. Accurate …

The rapid development of sensing and computing methods and their application to
transportation engineering in recent years provide us data support to traffic flow prediction …

To improve the prediction accuracy of traffic flow, a travel time prediction model based on
gradient boosting decision tree (GBDT) is proposed. In order to test the applicability of …

Providing accurate travel time prediction plays an important role in Intelligent Transportation
System. It is critical in urban travel decision making and significant for traffic control. The …

Tree based ensemble methods have reached a celebrity status in prediction field. By
combining simple regression trees with 'poor'performance, they usually produce high …

Improving travel time prediction for public transit effectively enhances service reliability,
optimizes travel structure, and alleviates traffic problems. Its greater time-variance and …

In order to improve the accuracy of short‐term travel time prediction in an urban road
network, a hybrid model for spatio‐temporal feature extraction and prediction of urban road …

Accurate short-term traffic forecasts help people choose transportation and travel time.
Through the query data, many models for traffic flow prediction have neglected the temporal …

Traffic prediction is based on modeling the complex non-linear spatiotemporal traffic
dynamics in road network. In recent years, Long Short-Term Memory has been applied to …