TradaX Traffic Data Analysis Tool
Wuping Xin 2007 (c)
In order to build reliable and realistic simulation models, high-quality input data are required including roadway geometry, vehicle/driver characteristics, traffic volumes, composition, and others. Among these data, volumes are of major importance yet they are hard to obtain; even when collected with advanced surveillance systems they are still susceptible to problems such as miscounting, gaps in time and space and other inaccuracies. More importantly, even when the data appear to be accurate, frequently they do not balance out, i.e., they are inconsistent in terms of maintaining conservation throughout the system. Inevitably, these problems could lead to anomalies or considerable errors during the simulation, seriously tainting the reliability and accuracy of its outputs while weakening the credibility of the resulting conclusions.
TradaX (Traffic Data Analysis) is a Windows© software package designed and developed at the University of Minnesota for filtering, correcting and balancing freeway traffic data. It can automatically identify freeway geometry and retrieve traffic data in UTDFF format, filter and correct data faults, and reconcile spatial discrepancies of traffic volumes. It also provides rich graphical functionalities and flexible data output options to facilitate data examination and outputs.
TradaX integrates empirical procedures, in conjunction with a validated ARIMA (Auto-Regressive Integrated Moving Average) model to filter and correct common temporal data errors; while a non-linear optimization algorithm has been developed and implemented in TradaX to balance the identified gaps of traffic counts on a system-scale.
In TradaX, data processing algorithms are implemented as COM (Component Object Model) objects. This will facilitate not only future upgrading of this program, but also convenient integration with advanced traffic simulators including AIMSUN, VISSIM, CORSIM or PARAMICS.
TradaX integrates empirical procedures, in conjunction with a validated ARIMA (Auto-Regressive Integrated Moving Average) model to filter and correct common temporal data errors; while a non-linear optimization algorithm has been developed and implemented in TradaX to balance the identified gaps of traffic counts on a system-scale.
In TradaX, data processing algorithms are implemented as COM (Component Object Model) objects. This will facilitate not only future upgrading of this program, but also convenient integration with advanced traffic simulators including AIMSUN, VISSIM, CORSIM or PARAMICS.
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