In the last two decades, the growing need for short‐term prediction of traffic parameters
embedded in a real‐time intelligent transportation systems environment has led to the …

Short term traffic flow forecasting has received sustained attention for its ability to provide the
anticipatory traffic condition required for proactive traffic control and management. Recently …

Most literature on short-term traffic flow forecasting focused mainly on normal, or non-
incident, conditions and, hence, limited their applicability when traffic flow forecasting is most …

Delft University of Technology oad traffic is the visible result of the complex interplay
between traffic demand (the amount and mix of vehicles arriving at a particular place and …

Urban traffic congestion is one of the most severe problems of everyday life in Metropolitan
areas. In an effort to deal with this problem, intelligent transportation systems (ITS) …

Short-term prediction is one of the essential elements of intelligent transportation systems
(ITS). Although fine prediction methodologies have been reported, most prediction methods …

Complexity in transport networks evokes the need for instant response to the changing
dynamics and uncertainties in the upstream operations, where multiple modes of transport …

When I finished my masters at the faculty of Civil Engineering at the Delft University of
Technology in 1997, I solemnly swore never to set foot in that building again. After job …

An approach is presented for optimizing short-term traffic-prediction performance by using
multiple topologies of dynamic neural networks and various network-related and traffic …

This paper presents an approach to optimize the short-term traffic prediction performance on
freeways using multiple artificial neural network topologies under different network and …