Highway Traffic Monitoring and Data Quality
Michael Dalgleish, Neil Hoose
Abstract
Michael Dalgleish, Neil Hoose
Abstract
This focus of this book is on state-of-the-art monitoring and analysis methods that are blazing new trails in traffic management. This unique resource provides a hands-on understanding of the latest sensors, processors, and communications links for everything from vehicle counts to urban congestion measurement. New statistical analysis techniques are also presented for quantifying data accuracy and reducing uncertainty in both current system state assessments and future system state forecasts. The volume also covers methods of assessing equipment performance and reliability including the evaluation of bias and precision, along with related issues such as validation, verification, sampling, and testing procedures. Quality control procedures are supplied for traffic data management as well as for helping to solve data collection problems in the field.
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This focus of this book is on state-of-the-art monitoring and analysis methods that are blazing new trails in traffic management. This unique resource provides a hands-on understanding of the latest sensors, processors, and communications links for everything from vehicle counts to urban congestion measurement. New statistical analysis techniques are also presented for quantifying data accuracy and reducing uncertainty in both current system state assessments and future system state forecasts. The volume also covers methods of assessing equipment performance and reliability including the evaluation of bias and precision, along with related issues such as validation, verification, sampling, and testing procedures. Quality control procedures are supplied for traffic data management as well as for helping to solve data collection problems in the field.
Key concepts: Reliability (semiconductor), Data collection, Computer science, Data quality, State (computer science), Focus (optics), Field (mathematics), Resource (disambiguation)