• Lily Elefteriadou
Part of the Springer Optimization and Its Applications book series (SOIA, volume 84)


How much traffic can a facility carry? This is one of the fundamental questions designers and traffic engineers have been asking since highways have been constructed. The term “capacity” has been used to quantify the traffic-carrying ability of transportation facilities. The value of capacity is used when designing or rehabilitating highway facilities to determine their geometric design characteristics such as the desirable number of lanes, it is used to design the traffic signalization schemes of intersections and arterial streets, it is used in evaluating whether an existing facility can handle the traffic demand expected in the future, and it is also used in the operations and management of traffic control systems (ramp metering algorithms, congestion pricing algorithms, signal control optimization, incident management, etc.).


Maximum Throughput Congested Condition Breakdown Event Practical Capacity Breakdown Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Transportation Research Board, National Academies (2010) Highway capacity manual 2010. Transportation Research Board, National Academies, Washington, DCGoogle Scholar
  2. 2.
    Airport capacity and delay, US DOT, FAA, Advisory Circular no. 150.5060-5, 1983Google Scholar
  3. 3.
    Elefteriadou L, Lertworawanich P (2003) Defining, measuring and estimating freeway capacity. Transportation Research Board Meeting, Washington, DCGoogle Scholar
  4. 4.
    Elefteriadou L, Hall F, Brilon W, Roess R, Romana M (2006) Revisiting the definition and measurement of capacity. In: 5th International symposium on highway capacity and quality of service, Yokohama, 25–29 July 2006Google Scholar
  5. 5.
    Lu C, Elefteriadou L (2011) An investigation of freeway capacity before and during incidents. Presented at the transportation research board annual meeting, Washington, DC, January 2011Google Scholar
  6. 6.
    Lorenz M, Elefteriadou L (2000) A probabilistic approach to defining capacity and breakdown, Transportation Research Circular E-C018. In: Proceedings of the 4th international symposium on highway capacity, 27 June–1 July 2000, pp 84–95Google Scholar
  7. 7.
    Lertworawanich P, Elefteriadou L (2003) A methodology for estimating capacity at ramp weaves based on gap acceptance and linear optimization. Transp Res Part B Methodol 37B(5):459–483CrossRefGoogle Scholar
  8. 8.
    Brilon W (2005) Randomness and reliability in freeway traffic flow. TRAIL Research School, DelftGoogle Scholar
  9. 9.
    Elefteriadou L, Kondyli A, Brilon W, Jacobson L, Hall F, Persaud B (2009) Proactive ramp management under the threat of freeway-flow breakdown, NCHRP 3-87. Transportation Research Board, Washington, DCGoogle Scholar
  10. 10.
    Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J Am Stat Assoc 53:457–481MathSciNetCrossRefzbMATHGoogle Scholar
  11. 11.
    Banks JH (1991) The two-capacity phenomenon: some theoretical issues, Transportation Research Record 1320. Transportation Research Board, Washington, DC, pp 234–241Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Lily Elefteriadou
    • 1
  1. 1.Department of Civil and Coastal EngineeringUniversity of FloridaGainesvilleUSA

Personalised recommendations