Consistently estimating link speed using sparse GPS data with measured errors
AbstractData 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by CTS - Centre for Transport Studies Stockholm (KTH and VTI) in its series Working papers in Transport Economics with number 2013:12.
Length: 23 pages
Date of creation: 16 Sep 2013
Date of revision:
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.kth.se/abe/om_skolan/organisation/centra/cts
Travel time; Sparse GPS data; Indirect inference; Map matching; Route choice.;
Find related papers by JEL classification:
- R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-09-28 (All new papers)
- NEP-DCM-2013-09-28 (Discrete Choice Models)
- NEP-ECM-2013-09-28 (Econometrics)
- NEP-TRE-2013-09-28 (Transport Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Gourieroux, C & Monfort, A & Renault, E, 1993.
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 8(S), pages S85-118, Suppl. De.
- 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.
- 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mats Berggren).
If references are entirely missing, you can add them using this form.