• 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