2 天前 - … This study examines the effects of Electric Vehicle (EV) charging/discharging
behaviors, informed by human mobility, on the flexibility of grid distribution networks and the …

6 天前 - … Results demonstrate the predictive power of the proposed model in predicting
traffic operations of intersections with multiple turning movements and time-varying free-flow …

7 天前 - … -by-step vehicle movements to predict outcome of proposed network configuration.
This … We propose a mixture density neural network model (Bishop 1994) for predicting the …

8 天前 - … constraints of complex and dynamic vehicle movement data during GNSS outages.
… real vehicle movement trajectory and the corresponding positioning results of the three …

10 天前 - … We conducted the received SNR prediction instead of the received power prediction
… based proactive handover in millimeter-wave vehicular networks,” in Proc. Int. Conf. …

15 天前 - … prediction. The first approach is an attention-aware social graph transformer network
that leverages sequence models to predict … diffusion into trajectory prediction, embodying a …

22 天前 - … rather than vehicle turning movement forecasting (TMF) at intersections. Based on
this, … hybrid prediction model (ATT-PHM) for predicting intersection turning movement count. …

25 天前 - … relative movement of objects under the road, we add a simple spatio-temporal
network named TrajNet to perform temporal modeling on the BEV feature map and predict the …

29 天前 - … A vehicle’s dwell time is the duration it stays connected to a base station before
handoff. This research focuses on predicting … We use the predicted dwell time along with SUMO …

31 天前 - … Fig.11. shows comparison between actual values and predicted values here we
show that actual values is almost equal to predicted values except some values. …