Sentence examples for congestion prediction from inspiring English sources
The experimental results show that the proposed recommendation system can expand the time horizon of traffic congestion prediction and further improve the reliability and predictability of decision-making basis for traffic managers and travelers.
Individual vehicles are rerouted more times under reactive route guidance than a predictive one, which indicates that the route guidance based on congestion prediction serves as a global preventive management on traffic conditions and thus leads to less times of reroutings for each vehicle.
Congestion prediction contributes to travel time reduction in the proposed RGS.
Furthermore, router's behavior for congestion minimization was modeled and used to propose a true congestion prediction algorithm.
Thus, a proactive RGS based on congestion prediction is considered essential to improve the effectiveness of RGS.
The probabilistic congestion prediction technique is used to guide the global routing decision to find the routing solution that evenly distributes the nets.
Spatially explicit models that combine network science and optimization techniques within a Geographic Information System (GIS) can target the unique physical, biological, and social characteristics of an area to provide more locally relevant evacuation traffic congestion predictions.
It is important to know when the traffic will get the most congested for congestion avoidance or traffic prediction.
This study analyses choices made by users in three different experiments involving strategic interactions in endogenous congestion to evaluate equilibrium prediction.
Personalized Internet search and predictions of traffic congestion based on GPS data are examples of machine learning.
