Linear Programming Model for Estimating High-Resolution Freeway Traffic States from Vehicle Identification and Location Data

The estimation of traffic state on freeway segments is widely studied as a complex nonlinear and stochastic estimation problem. A unified representation with a parsimonious explanation for traffic observations under free-flow, congested, and dynamic transient conditions is developed by capturing the essential characteristics of forward and backward wave propagation through cumulative flow count variables. New formulations are presented to use Bluetooth vehicle identification records and GPS vehicle location data on a freeway corridor with a merge and diverge. With the addition of nonnegativity and maximum discharge rate constraints, a computationally efficient linear programming model is constructed to estimate traffic states (i.e., density and traffic flow) from cumulative flow counts at each second. The proposed model is implemented and tested systematically on the basis of a real-world next generation simulation (NGSIM) data set.

• Record URL:
  • https://doi.org/10.3141/2421-17
• Summary URL:
  • http://scholar.google.com/scholar_lookup?title=Linear+Programming+Model+for+Estimating+High-Resolution+Freeway+Traffic+States+from+Vehicle+Identification+and+Location+Data&author=H.+Lei&author=X.+Zhou&publication_year=2014
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309295154
• Authors:
  • Lei, Hao
  • Zhou, Xuesong
• Publication Date: 2014

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 151–160
• Monograph Title: Traffic Flow Theory and Characteristics 2014, Volume 1
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2421
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Automatic vehicle detection and identification systems; Bluetooth technology; Freeway operations; Global Positioning System; Traffic congestion; Traffic estimation; Traffic flow; Vehicle design
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01519176
• Record Type: Publication
• ISBN: 9780309295154
• Report/Paper Numbers: 14-5449
• Files: TRIS, TRB, ATRI
• Created Date: Mar 24 2014 12:01PM