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Winston-Salem Mobility Manager : Data collection, validation, and performance evaluation Stone, John R et al

By: Publication details: Transportation Research Record, 2001Description: nr 1760, s. 114-20Subject(s): Bibl.nr: VTI P8167:1760Location: Abstract: The Winston-Salem Mobility Manager project has served as a test bed for advanced public transportation systems technology since 1995. The aspects of remote data collection, validation, and performance evaluation are discussed. The computerized scheduling software for Trans-AID, the local paratransit system, was accessed and passenger RIDE files were downloaded. Java-based utilities and conventional spreadsheets removed invalid data, sorted urban and rural passenger trips, and compared transit productivity measures. Validated Trans-AID data show relatively few data entry errors, some logical errors, and high time-window violations. Ridership, productivity, and service gains determined by intuitive assessment of traditional measures are not supported by statistical analysis. Rather, the results of t-tests suggest counterintuitive management actions to improve service and productivity. Internet-based methods of data collection, validation, and evaluation demonstrate promise for real-time transit management and agency monitoring.
Item type: Reports, conferences, monographs
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Current library Call number Status Date due Barcode
Statens väg- och transportforskningsinstitut Available

The Winston-Salem Mobility Manager project has served as a test bed for advanced public transportation systems technology since 1995. The aspects of remote data collection, validation, and performance evaluation are discussed. The computerized scheduling software for Trans-AID, the local paratransit system, was accessed and passenger RIDE files were downloaded. Java-based utilities and conventional spreadsheets removed invalid data, sorted urban and rural passenger trips, and compared transit productivity measures. Validated Trans-AID data show relatively few data entry errors, some logical errors, and high time-window violations. Ridership, productivity, and service gains determined by intuitive assessment of traditional measures are not supported by statistical analysis. Rather, the results of t-tests suggest counterintuitive management actions to improve service and productivity. Internet-based methods of data collection, validation, and evaluation demonstrate promise for real-time transit management and agency monitoring.