Alternative Approaches To Condition Monitoring In Freeway Management Systems Final Report

摘要

In response to growing concerns over traffic congestion, traffic management systems have been built in large urban areas in an effort to improve the efficiency and safety of the transportation network. This research effort developed an automated condition monitoring method that uses archived traffic data to provide a basis for assessing current traffic conditions and, if applicable, determining the degree to which the conditions are abnormal. Prototype applications for use in traffic management systems and for data mining purposes were developed. These applications employ a newly developed procedure for screening both current and archived data from traffic detectors to reduce the potential of using erroneous data in the MSQC-based traffic condition monitoring method. Several strategies for sampling the historical database, based on temporal relationships with current data, were developed and evaluated.