Sentence examples for a freeway network from inspiring English sources

Using the methodology presented in this paper, the risk of disturbance of traffic flow along a freeway segment or within a freeway network can be analyzed.

We apply the theory to the task of recognizing cars observed by cameras at widely separated sites in a freeway network, with new heuristics to handle the inevitable complexity of matching large numbers of objects and with online learning of appearance probability models.

Many drivers have praised the new toll lanes for shaving minutes off their commutes, and for providing a new option along a freeway network that is largely built out.

The L.A. of 1961 was a city embracing its private side, discovering the independence and elbow room made possible by a growing freeway network and a sprawling collection of residential subdivisions.

A simulation test was conducted via application of RENAISSANCE to a hypothetical freeway network example with a sparse detector configuration, and the testing results are presented in some detail.

This paper introduces a concept dealing with the stochastic interpretation of capacity and breakdown probability within a larger freeway network.

There has been a surge in the discovery of drop houses, where illegal immigrants are kept while waiting to be transported to destinations across the country, aided by an extensive freeway network here not heavily guarded by a Border Patrol focused to the south.

In 1933 Adolf Hitler began construction of an integrated freeway network known as the Reichsautobahnen, or "national motor roads," beginning with the Frankfurt-Darmstadt-Mannheim-Heidelberg Autobahn.

Dixon and Rilett [30] extend this approach to estimate ramp-to-ramp freeway OD volumes, and demonstrate the approach using a large urban freeway network equipped with an AVI system.

Fed with a limited amount of real-time traffic measurements, RENAISSANCE enables a number of freeway network traffic surveillance tasks, including traffic state estimation and short-term traffic state prediction, travel time estimation and prediction, queue tail/head/length estimation and prediction, and incident alarm.

This paper concerns the exploration of statistical models for the analysis of observational freeway flow data, and the development of empirical models to capture and predict short-term changes in traffic flow characteristics on sequences of links in a partially detectorized freeway network.