Determining the optimal configuration of highway routes for real-time traffic information: A case study

IEEE Transactions on Intelligent Transportation Systems

Volumn 11, Issue 1, 2010, Pages 225-231

  Bartin, Bekir ^a   Ozbay, Kaan ^a  

^a the state University of New Jersey   (United States)

Author keywords

Integer programming; Traffic transportation; Travel time; Travel time variability; Traveler information systems

Indexed keywords

DATA SETS; HIGHWAY NETWORKS; HIGHWAY ROUTES; NEW JERSEY; OPTIMAL CONFIGURATIONS; OPTIMAL NUMBER; OPTIMAL SUBSETS; OPTIMIZATION SOFTWARE; OPTIMIZATION SOLVERS; ORIGIN DESTINATION; PROGRAMMING PROBLEM; REAL-TIME TRAFFIC INFORMATION; TIME PERIODS; TRAVEL TIME; TRAVEL TIME VARIABILITY; TRAVELER INFORMATION SYSTEMS; VEHICLE NETWORK;

DYNAMIC PROGRAMMING; INFORMATION SYSTEMS; OPTIMIZATION; TRAFFIC CONTROL; TRAFFIC SURVEYS;

INTEGER PROGRAMMING;

EID: 77649273092     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2009.2029241     Document Type: Article

References (15)

1. M. D. Meyer, Measuring System Performance: The Key to Establishing Operations as a Core Agency Mission. accessed on September 2004. [Online]. Available: http://ops.fhwa.dot.gov/Speech%20Files/FHWAPerformancemeasures.doc
2. C. Chen, A. Skabardonis, and P. Varaiya, "Travel time variability as a measure of service," presented at the 82nd Annu. Meeting Transp. Res. Board, Washington, DC, 2003.
3. S. Pickrell and L. Neumann, "Linking performance measures with decision making," presented at the 79th Annu. Meeting Transp. Res. Board, Washington, DC, 2000.
4. F. Hall, S. Wakefield, and A. Al-Kaisy, "Freeway quality of service: What really matters to drivers and passengers?" presented at the 80th Annu. Meeting Transp. Res. Board, Washington, DC, 2001.
5. K. Small, R. Noland, X. Chu, and D. Lewis, "Valuation of travel time savings and predictability in congested conditions for highway usercost estimation," Nat. Cooperative Highway Res. Program, Transp. Res. Board, Washington, DC, Rep. 431, 1999.
6. H. D. Sherali, J. Desai, H. Rakha, and I. El-Shawarby, "A discrete optimization approach for locating automatic vehicle identification readers for the provision of roadway travel times," presented at the 82nd Annu. Meeting Transp. Res. Board, Washington, DC, 2002.
7. B. Yang and E. Miller-Hooks, "Determining critical arcs for collecting real-time travel information," presented at the 81st Annu. Meeting Transp. Res. Board, Washington, DC, 2001.
8. A. Chen, P. Chootinan, and S. Pravinvongvuth, "A multi-objective model for locating automatic vehicle identification readers," presented at the 83rd Annu. Meeting Transp. Res. Board, Washington, DC, 2004.
9. D. Teodorovic, M. Van Aerde, F. Zhu, and F. Dion, "Genetic algorithms approach to the problem of the automated vehicle identification equipment location," J. Adv. Transp., vol. 36, no. 1, pp. 1-21, 2002.
10. R. B. Noland and J. W. Polak, "Travel time variability: A review of theoretical and empirical issues," Transp. Rev., vol. 22, no. 1, pp. 39-54, 2002.
11. R. Li, Examining Travel Time Variability Using AVI Data, 2005. [Online]. Available: http://www.aatraffic.com/documents/RuiminLi-CAITR2004
12. J. W. C. Van Lint, H. Tu, and H. J. Van Zuylen, "Travel time reliability on freeways," in Proc. 10th WCTR, Istanbul, Turkey, 2004. [CD-ROM].
13. T. C. Lam and K. A. Small, "The value of time and reliability: Measurement from a pricing experiment," Transp. Res., Part E, vol. 37, no. 2/3, pp. 231-251, 2001.
14. T. Lomax, D. Schrank, S. Turner, and R. Margiotta, Selecting Travel Reliability Measures, May 2003, NCHRP Draft Rep.
15. W. Gropp and J. More, "Optimization environments and the NEOS server," in Approximation Theory and Optimization, M. D. Buhmann and A. Iserles, Eds. Cambridge, U.K.: Cambridge Univ. Press, 1997, pp. 167-182.