Title :
UTMC compliant database to support technologies of the future
Author :
Bell, M.C. ; Suresh, Vikram ; Watson, Paul ; Blythe, P.T.
Author_Institution :
Sch. of Civil Eng. & Geosci., Newcastle Univ., Newcastle upon Tyne, UK
Abstract :
This paper will present the results of an in depth investigation of the standard database format defined by the Common Database project, UTMC10, funded by the Department for Transport on the mid 1990s applied to diverse datasets. It outlines the difficulties encountered in implementing the database platform to embrace different sources, (namely accident, pollutant concentrations, registration plate, journey time etc.) and to include both dynamic (vehicle tracking, tailpipe emissions, bus stop arrival times, car park occupancies etc) and static (public transport time tables, car parking charges etc.) data with different dimensions, sampling frequencies and accuracies. The paper will look at the requirements of Urban Traffic Management and Control compliant database infrastructure in the context of the delivery of wider policy objectives to those relating to traffic. In particular, to create the statistical processing capability that defines the current and changing status of the network, to provide the platform upon which to build a historic picture of the network to allow a statistical forecasting capability and to develop the foundations for model validation and evaluation. In this way the infrastructure needed to deliver policy objectives which not only embrace traffic management but also public transport, air quality, health impacts and climate change will be formulated.
Keywords :
climate mitigation; database management systems; environmental factors; health hazards; public administration; sampling methods; traffic information systems; transportation; Department for Transport; UTMC compliant database; UTMC10; air quality; bus stop arrival times; car park occupancy; car parking charges; climate change; common database project; control compliant database infrastructure; database platform; diverse datasets; dynamic data; health impacts; in depth investigation; model evaluation; model validation; public transport time tables; sampling accuracy; sampling frequency; standard database format; static data; statistical forecasting capability; statistical processing capability; tailpipe emissions; urban traffic management; vehicle tracking; wider policy objectives; Common Database; UTMC Compliant;
Conference_Titel :
Road Transport Information and Control - RTIC 2008 and ITS United Kingdom Members' Conference, IET
Conference_Location :
Manchester
Print_ISBN :
978-0-86341-920-1