The prediction of high-speed traffic flow around the city is affected by multiple factors, which
have certain particularity and difficulty. This study devised an asymmetric Bayesian …

With the rapid development of urban intelligent transportation system, the prediction short-
term of traffic flow attracts more and more attention. As the lack of the characteristics of traffic …

With the development of society and economy, people's living standards are improving day
by day. The number of private cars is increasing, and the problem of urban traffic congestion …

According to the time series characteristics of the trajectory history data, we predicted and
analyzed the traffic flow. This paper proposed a LSTM-XGBoost model based urban road …

Credible and accurate traffic flow forecasting is critical for deploying intelligent traffic
management systems. Nevertheless, it remains challenging to develop a robust and efficient …

In order to alleviate the problem of urban traffic congestion a traffic congestion analysis and
prediction method based on XGBoost and LightGBM integration model is proposed in this …

Historical cities around the world have serious traffic congestions due to old infrastructure
and urbanization. To mitigate traffic problems in such cities, infrastructure investments are …

Real‐time and accurate travel time information between bus stations is critical for
passengers to make suitable travel plans to reduce waiting time at the stops. By mining and …

Short-term traffic flow prediction is the premise of making full use of intelligent transportation
system and plays an important role in urban traffic planning. In this paper, a deep extreme …

This study delves into the intricate dynamics of urban mobility, a pivotal aspect for
policymakers, businesses, and communities alike. By deciphering patterns of movement …