Print Email Facebook Twitter Data fusion solutions to compute performance measures for urban arterials Title Data fusion solutions to compute performance measures for urban arterials Author Van Lint, J.W.C. Bertini, R.L. Hoogendoorn, S.P. Faculty Civil Engineering and Geosciences Department Transport and Planning Date 2014-12-31 Abstract One of the key problems faced by traffic management operators of large urban traffic networks is the lack of sufficient data to compute performance indicators. These indicators, such as travel time, queue length, loss hours, total time spent, are useful for both offline evaluation purposes, as well as online traffic control applications. In the latter case, such data is particularly of use in coordination algorithms that require information on the number of vehicles present or queuing in certain areas. This information in turn is used for example to assess the amount of buffer space available to temporarily store or reroute vehicles from more densely used parts of the network. Computing the amount of vehicles present or queuing in a certain area requires, of course, counting the number of vehicles that enter or exit that area. In this extended abstract we show how through fusing vehicle counts and travel times (measured by any means available), the well-known drift-error can be reduced to virtually zero. In the complete paper we show how this algorithm fits in a wider suite of data fusion tools to compute urban traffic performance indicators on the basis of multiple sources of data To reference this document use: http://resolver.tudelft.nl/uuid:5bbd9737-59ae-43e2-a69d-549b698a38f0 Publisher TRB Source Symposium Celebrating 50 years of Traffic Flow Theory 2014 FTF Summer Meeting, Portland (USA), 11-13 August, 2014 Part of collection Institutional Repository Document type conference paper Rights (c) 2014 The Authors Files PDF 308944.pdf 359.27 KB Close viewer /islandora/object/uuid:5bbd9737-59ae-43e2-a69d-549b698a38f0/datastream/OBJ/view