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Innovation­game

Welcome to The Innovationgame Traffic Pages


I first became interested in traffic science in 1990 when returning from an experiment in Grenoble.  I experienced the phenomenon of traffic density waves while travelling along the autoroute at the start of a Paris holiday.   These reminded me of the concept of density waves in spiral galaxies.  

My first foray into traffic science was the development of the VEDENS computer code, a microscopic simulation of traffic flow, with the vehicles considered as particles.   The VEDENS code enabled me to determine the limits of accuracy for calculated live traffic flows at the National Traffic Control Centre (NTCC).   This work led to the development of a Long-term Integration Process (LIP) for identifying errors in the data received from loop-based traffic counting equipment by using sets of self-consistent validation equations.  This was further developed into the CAVEMAN process (Continuous Assessment of Validation Equations Monitoring the Agency Network).   CAVEMAN was designed to give a continuous assessment of all equipment thoughout the network and became the standard for assessing the overall accuracy of the monitoring process.

The latest development has been the creation of EDDEE (Event Detection and Delay Estimation Engine), which uses upstream and downstream traffic count data to detect congestion and predict delays for drivers before they reach the problem.

A selection papers on some of the above traffic science topics published in the literature will shortly available here.