Results (1)
Search Parameters:
Keyword: Traffic state predictionOpen AccessArticle
9 Pages, 1,946 KB 
Spatiotemporal Traffic State Prediction Based on Discriminatively Pre-trained Deep Neural Networks
Abstract:
The availability of traffic data and computational advances now make it possible to build data-driven models that capture the evolution of the state of traffic along modeled stretches of road. These models are used for short-time prediction so that transportation facilities can be operated in an efficient way that guarantees a high level of service.…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Artificial Intelligence in Computer Science (CAI))