2 天前 - … UE model, the E-UE model promotes uniform traffic … highly representative traffic
allocation models holds crucial … the predictive performance of traffic allocation models for …

2 天前 - … model for a broad range of real-world traffic scenarios, including highway traffic, urban
traffic, and non-motorised traffic. … -the-art traffic prediction models, where MemCNP shows …

2 天前 - … The distributed control strategy for networked control system (NCS) examined in
this work is prioritized distributed model predictive control (P-DMPC), in which each vehicle …

2 天前 - … In summary, a good model fit to the empirical data was achieved. The results
showed that the contextual factors influenced the model parameters in a way that are in line with …

2 天前 - … the predictive model, a GP is fitted using on the training data generated. The
model for the proportion of sensor data traffic volume represented by the telematics data traffic …

2 天前 - … rates, generating numerous incorrect predictions. In contrast, RF and … prediction
models for this study. Observations made during the attack, based on monitoring network traffic, …

3 天前 - … reveal the occurrence and development mechanism of soil frost heave under traffic
loads. … traffic loads and has significant significance for subgrade engineering in cold regions. …

3 天前 - … estimation accuracy of the model, we designed a … traffic managers to estimate traffic
states and alleviate congestion, offering valuable insights for data estimation and prediction …

3 天前 - … Accurate crash severity prediction models have practical implications for traffic
safety management. For instance, emergency response systems can use predicted severity …

3 天前 - … Additionally, the model adopts … predictive models, providing more accurate fog
weather forecasts and warning services, and offering better services to local residents and traffic …