Sentence examples for context of traffic from inspiring English sources

The concept of the path is of critical importance in the context of traffic engineering techniques developed for transport networks.

Although several data stream mining methods have been proposed, an evaluation of such methods in the context of traffic applications is yet missing.

Consequently, a bi-objective model that balances the trade-off between reducing the network uncertainty and covering demand under a budgetary constraint in the context of traffic dynamics is proposed.

The chapter defines the notions of a transport service, network controller, data switch, and control channel as well as control interface, data interface, data link, and link attributes in the context of traffic engineering.

In particular, the study of community structure of the Internet at the Autonomous Systems level has been previously approached in [4 7] and, to the best of our knowledge, the community structure at the router level has only been addressed in [8] in the context of traffic queuing analysis.

In terms of pathologies, overall injuries were decreasing, indicating possible changes in the epidemiology of trauma, particularly in the context of traffic accident prevention.

By contrast, the Palermo Protocol's definition, with its focus on exploitation, greatly reduces the prosecutorial burden of proving coercion, which is often considered an insurmountable obstacle in the context of trafficking cases.

POC is a representative indicator of particulate organics from fossil-fuel combustion sources in the context of traffic-related air pollution (Delfino et al. 2010).

The fourth type of error (positional error in geocoding) has been addressed by one recent study [ 5] in the context of traffic-related air pollution, although not specific to children.

Two failure modes exceedance of braking algorithm limits and sensor failures were introduced in the driving contexts of traffic and rain, respectively.

Opportunities offered by emerging traffic data collection technologies in the context of dynamic traffic data modeling are presented, focusing on their role in the development and application of more effective (off-line and on-line) calibration methodologies in simulation-based traffic management systems.