Consistently estimating link speed using sparse GPS data with measured errors
Data sources using new technology such as the Geographical Positioning System are increasingly available. In many different applications, it is important to predict the average speed on all the links in a network. The purpose of this study is to estimate the link speed in a network using sparse GPS data set. Average speed is consistently estimated using Indirect Inference approach. In the end, the Monte Carlo evidence is provided to show that the results are consistent with parameter estimates.
|Date of creation:||16 Sep 2013|
|Note:||To be published in the proceedings of the 16th Euro Working Group on Transportation, Porto, Portugal, 4-6 September 2013. QS 2013|
|Contact details of provider:|| Postal: Centrum för Transportstudier (CTS), Teknikringen 10, 100 44 Stockholm, Sweden|
Web page: http://www.cts.kth.se/
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- Jenelius, Erik & Koutsopoulos, Haris N., 2013. "Travel time estimation for urban road networks using low frequency probe vehicle data," Transportation Research Part B: Methodological, Elsevier, vol. 53(C), pages 64-81.
- Frejinger, E. & Bierlaire, M., 2007. "Capturing correlation with subnetworks in route choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(3), pages 363-378, March.
- Gourieroux, C & Monfort, A & Renault, E, 1993. "Indirect Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 85-118, Suppl. De.
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