Information: the key to more intelligent use of transport infrastructure

Abstract

The provision of quality travel information to the travelling public and transport network managers is a key component in managing and ultimately reducing traffic congestion. It requires real-time information to be effective, but this is only the beginning as journeys take place over time and space—and conditions in a particular part of the network can change rapidly. To inform the travelling public and network managers more fully, real-time traffic models with self-learning capabilities able to provide short-term forecasts need to be developed. This paper discusses recent developments in real-time travel information and identifies ways in which it can be taken to new levels, resulting in more intelligent and effective use of existing transport infrastructure.