A procedure for urban route travel time forecast based on advanced traffic data: Case study of
Rome Page 1 Abstract — In this paper, authors report a procedure to forecast the route travel …

Travel time duration and traffic forecasting in urban environments is of critical importance for
efficient supply chain logistics and accurate navigation services. The paper compares data …

As the interest for developing intelligent transportation systems increases, the necessity for
effective traffic prediction techniques becomes profound. Urban short-term traffic prediction …

In this research a model of forecasting the travel times of links will be addressed.
Forecasting is one of the main topics of an integrated traffic management system and a …

The effect of traffic in routing, either for individuals or fleets, becomes more and more
noticeable as the social, economical, and the ecological effects that it has, seem to be …

Artificial neural network (ANN) techniques are applied to build a travel time estimation
model. The model exhibits a functional relation between real-time traffic data as the input …

Travel time forecasting is an interesting topic for many intelligent transportation system (ITS)
services. Increased availability of data collection sensors increases the availability of the …

This study introduces a new short‐term traffic forecasting technique, based on the dynamic
features of traffic data derived from vehicles moving in urban networks. The authors goal is …

Traffic managers today have no reliable tool for forecasting traffic 24 or 48 hours in advance,
which would allow them to prepare and implement the appropriate local or general …

This dissertation falls within the domain of the Intelligent Transportation Systems (ITS). In
particular, it is concerned with the design of a methodology for the real-time multi-step ahead …