Voice over IP without silence suppression is an example for traffic that is categorized as UGS.
The POD-based reduced-order FDEA here is only an attempt to give an example for traffic flow problems.
For example, for traffic load estimates were only generated for the third and fourth categories, and categorical associations for traffic intensity were positive for the second and fourth categories but null for the third (see Supplemental Material, Table S3).
For example, for traffic intensity at the nearest road, we used a 5,000 vehicle per day contrast, which is approximately equal to the traffic density of many urban roads in Europe, and thus represents the effect of a doubling of the traffic intensity on a typical major road.
b On/off threshold example for mixed traffic profile.
For example, the model works well for traffic analysis using longer trips, but not for shorter trips.
This is particular obvious for examples like traffic behavior, where stopping to walk or to drive is necessary when the traffic light turns from green to red, or when passengers, animals, or vehicles are suddenly crossing the street.
For example, traffics for wireless data communications have increased by 5000% over the past three years in AT&T networks[1].
The limitations of the protection measures also make it difficult to identify trafficking victims who are exploited for purposes other than sex, for example children trafficked for the purpose of forced begging.
For example, traffic emissions were reported to increase atopic sensitization for nine-year-old children living near major roads and in suburban areas in West Germany [ 161].
