Robustness and Computational Efficiency of Kalman Filter Estimator of Time-Dependent Origin–Destination Matrices: Exploiting Traffic Measurements from Information and Communications Technologies

Origin–destination (O-D) trip matrices that describe the patterns of traffic behavior across a network are the primary data input used in principal traffic models and, therefore, a critical requirement in all advanced systems supported by dynamic traffic assignment models. However, because O-D matrices are not directly observable, the current practice consists of adjusting an initial or seed matrix from link flow counts that are provided by an existing layout of traffic-counting stations. The availability of new traffic measurements provided by information and communication technologies (ICT) allows more efficient algorithms, namely for real-time estimation of O-D matrices that are based on modified Kalman filtering approaches to exploit the new data. The quality of the estimations depends on various factors such as the penetration of the ICT devices, the detection layout, and the quality of the initial information. The feasibility of real-time applications depends on the computational performance of the proposed algorithms for urban networks of sensitive size. This paper presents the results of a set of computational experiments with a microscopic simulation of the network of Barcelona’s central business district that explore the sensitivity of the Kalman filter estimates in relation to design factor values.

• Record URL:
  https://doi.org/10.3141/2344-04
• Summary URL:
  http://scholar.google.com/scholar_lookup?title=Robustness+and+Computational+Efficiency+of+Kalman+Filter+Estimator+of+Time-Dependent+Origin%e2%ac%1cDestination+Matrices%3a+Exploiting+Traffic+Measurements+from+Information+and+Communications+Technologies&author=J.+Barcel%c3%b3&author=L.+Montero&author=M.+Bullejos&author=M.+Linares&author=O.+Serch&publication_year=2013
• Availability:
  • Find a library where document is available. Order URL: http://www.trb.org/Publications/Blurbs/169766.aspx
• Authors:
  • Barceló, J
  • Montero, L
  • Bullejos, M
  • Linares, M P
  • Serch, O
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 31–39
• Monograph Title: Travel Demand Forecasting 2013, Volume 2
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2344
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Dynamic traffic assignment; Kalman filtering; Microsimulation; Origin and destination; Telecommunications; Time dependence; Traffic measurement; Traffic models; Vehicle detectors
• Geographic Terms: Barcelona (Spain)
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01478465
• Record Type: Publication
• ISBN: 9780309286718
• Report/Paper Numbers: 13-3919
• Files: TRIS, TRB, ATRI
• Created Date: Apr 15 2013 1:15PM