Sentence examples for data for transportation from inspiring English sources

Crowdsourced fitness apps offer a new source of data for transportation planning and can increase the spatial and temporal resolution of official count programs.

We assess and summarise the quality of the available vulnerability data for transportation networks in Table 7 based on the scale presented in Table 3. Tephra fall can cause disruption to the road network and can lead to traffic accidents, congestion, reduced vehicle speed and possible road closure.

Data for transportation, shopping, dining, and office workplaces were taken from various studies listed in Table 2.

With the recent advent of Intelligent Transportation Systems (ITS), and their associated data collection and archiving capabilities, there is now a rich data source for transportation professionals to develop capacity values for their own jurisdictions.

Sarah Kaufman, a research associate at the Rudin Center for Transportation Policy and Management at NYU Wagner recently released an open data guide for transportation agencies and made the report available as both a downloadable PDF and Google Doc where users can leave comments and edits.

Data needs for transportation modeling and privacy protection should be deliberately balanced for different applications.

This model is capable of addressing work days, holidays, and large-scale activities, and it provides data support for transportation planning and holiday operation schemes at the network level and the implementation of gradual improvement plans over different time periods [16, 17].

Data for the transportation stages were collected from the ecoinvent database.

The intention of the large force is to obtain more precise data for oil transportation given a finite simulation time.

Continuity of accurate navigational data for intelligent transportation applications has been widely provided by utilizing low-cost navigation systems through integrating GPS with micro-electro-mechanical-system (MEMS) inertial sensors.

This waste is due to the energy consumed for data transportation, data generation, and data processing.