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Traffic data collection, within the context of transportation operation and management, is becoming an increasingly valuable asset for today's transportation arena. Significant traffic data have been generated from Intelligent Transportation Systems (ITS) technologies in recent years. The data have been widely utilized in managing system operations and providing information on traffic conditions. However, public and private users are finding that the utilization and operation of the data is an increasingly difficult task since the data are collected with different levels of accuracy and resolution, and data formats are incompatible. Furthermore, the problem worsens as the amount of data continues to grow. The quality of data in data collection, operation, and management efforts has resulted in the underutilization of data and increased utilization costs.
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