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Source CiteSeerX
Content type Text
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Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Soft Sensor ♦ Urban Traffic ♦ Faulty Measurement Detection ♦ Queue Length ♦ Model Prediction ♦ Gaussian Process ♦ Modern System ♦ Faulty Measurement ♦ Valuable Alternative ♦ Abstract Soft Sensor ♦ Traffic Queue Length ♦ Many Method ♦ Urban Traffic Control ♦ Key Indicator ♦ Possible Application ♦ Traffic Cross-section ♦ Traditional Hardware Sensor ♦ Detector Measurement ♦ Engineering Practice ♦ Process Industry ♦ Expensive Surveillance Equipment ♦ Traffic Control Quality ♦ Lasting Fault
Abstract Abstract—Soft sensors are a valuable alternative to the traditional hardware sensors, which are indispensable in configuration of modern systems. They are often used in process industry, but other applications are possible. This paper describes a possible application of soft sensor for faulty measurement detection and reconstruction in urban traffic. One of the key indicators of traffic control quality in urban traffic control (UTC) systems is the queue length. With the exception of some expensive surveillance equipment, the queue length itself cannot be measured directly. Many methods that estimate the queue length from detector measurements are used in engineering practice, ranging from simple to elaborate ones. The proposed method is a soft sensor based on Gaussian process (GP) model of the traffic queue length in a traffic cross-section. The resultant soft sensor detects single measurement outliers as well as longer lasting faults and replaces the faulty measurements with model prediction. I.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article