Definition of the Subject
Much of our economic and social life is dependent on communication and transportation systems. Travel in urban networks represents an interactionbetween the demand for transportation and the supply of transportation means and facilities which includes the vehicles, the road networks, as well as thecontrol systems that govern them. The critical elements within these systems are junctions, or intersections, which are controlled by means of trafficsignals. Public authorities, which are responsible for the operation of those systems, develop control policies that have a dominant impact on thequality of travel and the level of service provided by the networks. An understanding of the basic models involved in urban traffic control is essentialfor the development of optimal operating policies that would lead to the effective performance of urban traffic networks.
Introduction
The critical elements within an urban traffic network are the junctions, or the...
Abbreviations
- Assignment:
-
(traffic) The allocation of traffic volumes to routes.
- Arterial:
-
A road with two or more intersections.
- Bandwidth:
-
Time interval in an arterial progressive system during which vehicles can travel unimpeded.
- Controller:
-
A device which controls the sequence and duration of indications displayed by traffic signals.
- Coordination:
-
The establishment of a definite timing relationship between adjacent traffic signals.
- Cycle time:
-
The time required for one complete sequence of signal indications.
- Delay:
-
(traffic) The time lost by vehicle(s) due to traffic interference or control devices.
- Detector:
-
(traffic) A device to detect the presence or passage of a vehicle in the roadway.
- Flow:
-
(traffic) The rate at which vehicles cross a given line on the road; the number of vehicles per unit of time.
- Headway:
-
The time interval between successive vehicle crossings of a given line on the road.
- Intelligent transportation system:
-
The addition of information and communications technology to enhance performance of transport infrastructure and of vehicles.
- Offset:
-
The time difference between the start of green at one intersection and the start of green at a subsequent intersection, or with respect to a system time base.
- Phase:
-
The time interval of a cycle time allocated to any combination of movements receiving the right‐of‐way simultaneously.
- Performance index/disutility index:
-
A numerical quantity used to measure the performance of a traffic in a network in an optimization or a simulation model; also objective function.
- Platoon:
-
A tight group of vehicles traveling along an arterial.
- Progression:
-
A timing plan enabling a platoon to travel unimpeded along an arterial.
- Saturation flow:
-
The rate of flow at which vehicles are discharged from a queue stopped at a signal; the maximum rate of flow on a street.
- Synchronization:
-
A condition under which traffic signals operate with the same cycle time.
- Volume:
-
(traffic) The number of vehicles crossing a line on the road per hour; traffic flow.
Bibliography
Primary Literature
Webster FV (1958) Traffic signal settings. HMSO, London
Gerlough DL, Huber MJ (1975) Traffic flow theory. Special report 165. Transportation Research Board, Washington DC
Greenshields BD, Schapiro D, Ericksen EL (1947) Traffic performance at urban street intersections. Technical Report, No 1. Yale Bureau of Highway Traffic
Morgan JT, Little JDC (1964) Synchronizing traffic signals for maximal bandwidth. Oper Res 12:896–912
Little JDC (1966) The synchronizing of traffic signals by mixed-integer linear programming. Oper Res 14:568–594
Little JD, Kelson MD, Gartner NH (1982) MAXBAND: A program for setting signals on arteries and triangular networks. Transp Res Rec 795:40–46
Gartner NH, Assmann SF, Lasaga F, Hou DL (1991) A multi-band approach to arterial traffic signal optimization. Transp Res 25B(1):55–74
Gartner NH (1972) Constraining relations among offsets in synchronized signal networks. Transp Sci 6:88–93
Gartner NH, Stamatiadis C (2002) Arterial-based control of traffic flow in urban grid networks. Math Comput Model 35:657–671
Robertson DI (1969) TRANSYT: A traffic network study tool. TRRL Report No LR 253. Transportation and Road Research Laboratory, Crowthorne
Hunt PB, Robertson DI, Bretherton RD, Winton RI (1981) SCOOT – A traffic responsive method of coordinating signals. TRRL Report No LR 1014. Transportation and Road Research Laboratory, Crowthorne
Gartner NH (1983) OPAC: A demand-responsive strategy for traffic signal control. Transp Res Rec 906:75–81
Bellman R, Dreyfus S (1962) Applied dynamic programming. Princeton University Press, Princeton
Grafton RB, Newell GF (1967) Optimal policies for the control of an undersaturated intersection. In: Edie LC, Herman R, Rothery R (eds) Vehicular traffic science. Elsevier, New York, pp 239–257
Gartner NH, Pooran FJ, Andrews CM (2002) Optimized policy for adaptive control strategy in real-time adaptive control systems: Implementation and field testing. Transp Res Rec 1811. Transportation Research Board, Washington DC, pp 148–156
Gartner NH, Gershwin SB, Little JDC, Ross P (1980) Pilot study of computer-based urban traffic management. Transp Res 14(1/2):203–217
Gershwin SB, Ross P, Gartner NH, Little JDC (1978) Optimization of large traffic systems. Transp Res Rec 682:8–15
Tan HN, Gershwin SB, Athans M (1979) Hybrid optimization in urban traffic networks. Report No DOT-TSC-RSPA-79-7. Transportation Systems Center, US Dept of Transportation
Gartner NH, Stamatiadis C (1998) Integration of dynamic traffic assignment with real-time traffic adaptive signal control. Transp Res Rec 1644:150–156
Smith MJ (1980) A local traffic control policy which automatically maximizes the overall travel capacity of an urban network. Traffic Eng Control June 1980:298–302
Ghali MO, Smith MJ (1994) Comparisons of the performances of three responsive traffic control policies, taking drivers' day-to-day route choices into account. Traffic Eng Control October 1994:555–560
Gartner NH, Al-Malik M (1996) A combined model for signal control and route choice in urban networks. Transp Res Rec 1554:27–35
Gartner NH, Stamatiadis C, Tarnoff PJ (1995) Development of advanced traffic signal control strategies for ITS: A multi-level design. Transp Res Rec 1494:98–105
Books and Reviews
Gartner NH, Improta G (eds) (1995) Urban traffic networks: Dynamic flow modeling and control. Springer, Berlin
Gordon RL, et al (1996) Traffic control systems handbook. Federal highway administration. Report FHWA-SA-95-032. US Dept. of Transportation, Washington DC
Homburger WS (ed) (1982) Transportation and traffic engineering handbook, 2nd edn. Prentice-Hall, Englewood Cliffs
Kerner BS (2004) The physics of traffic. Springer, Berlin
Organization for economic cooperation and development (1987) Dynamic traffic management in urban and suburban road systems. OECD, Paris
Papageorgiou M (ed) (1991) Concise encyclopedia of traffic & transportation systems. Pergamon Press, Oxford
RiLSA (2002) Richtlinien für Lichtsignalanlagen für den Strassenverkehr. Forschungsgesellschaft für Strassen-und Verkehrswesen, Köln
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag
About this entry
Cite this entry
Gartner, N.H., Stamatiadis, C. (2009). Traffic Networks, Optimization and Control of Urban. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, New York, NY. https://doi.org/10.1007/978-0-387-30440-3_563
Download citation
DOI: https://doi.org/10.1007/978-0-387-30440-3_563
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-75888-6
Online ISBN: 978-0-387-30440-3
eBook Packages: Physics and AstronomyReference Module Physical and Materials ScienceReference Module Chemistry, Materials and Physics