Functional Summary

• Statistically-optimized matrix estimation
• Successfully used on many and varied studies around the world
• Exploits a wide range of low cost, readily available data

• traffic count data obtained manually or from automatic counters
• trip end data obtained from parking surveys or from trip generation equations
• partial matrix data such as cordon surveys
• boarding and alighting trip surveys may be exploited for public transit matrices. This information can be derived from electronic ticketing machines
• routing data

• Data of varying quality can be used without compromising overall quality
• Software tools assist with data preparation
• Use of confidence levels gives explicit consideration to inherent variability in the data
• Rigorous Methodology
• Powerful optimizer allowing individual cells to be estimated with precision
• Self-calibrating calculation
• Extensive reporting options
• Specialist tools indicate the quality of the estimated matrix
• Quality analysis of estimated matrix guides cost effective and selective data surveys