Defining traffic flow phases using intelligent transportation systems-generated data

Journal of Intelligent Transportation Systems: Technology, Planning, and Operations

Volumn 11, Issue 1, 2007, Pages 15-24

  Jingxin, Xia ^a   Mei, Chen ^a  

^a UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Clustering; Speed flow density; Traffic flow

Indexed keywords

CLUSTERING; SPEED-FLOW-DENSITY; TRAFFIC FLOW; TRAFFIC PARAMETERS;

DATA FLOW ANALYSIS; DATA REDUCTION; DETECTORS; INTELLIGENT AGENTS; PARAMETER ESTIMATION;

STREET TRAFFIC CONTROL;

EID: 33847144078     PISSN: 15472450     EISSN: 15472442     Source Type: Journal    
DOI: 10.1080/15472450601122322     Document Type: Article

References (10)

1. Banks, J. (1999). Investigations of some characteristics of congested flow. Transportation Research Record - Journal of the Transportation Research Board, (1678), 128-134.
2. Greenshields, B. (1935). A study of traffic capacity. Highway Research Board Proceedings, 14, 448-477.
3. Hall, F., Hurdle, V., and Banks, J. (1992). Synthesis of recent work on the nature of speed-flow and flow-occupancy (or density) relationships on freeways. Transportation Research Records - Journal of the Transportation Research Board, (1365), 12-18.
4. Kerner, B. S. and Rehborn, H. (1996). Experimental properties of complexity in traffic flow. Physical Review, E53, R4275-R4278.
5. Lomax, T., Turner, S., and Margiotta, R. (2002). Monitoring urban roadways in 2002: Using archived operations data for reliability and mobility measurement. FHWA-HOP-04-011, Federal Highway Administration. Washington, DC.
6. Park, B. (1998). Clustering-based RBF neural network model for short-term freeway traffic volume forecasting. In Application of Advanced Technologies in Transportation Engineering, the Proceedings of the 5th International Conference on Applications of Advanced Technologies in Transportation Engineering, ed. Hendrickson, C. and Ritchie, S., 280-287. Newport Beach, CA: American Society of Civil Engineers.
7. Park, B. (2002). Hybrid neuro-fuzzy application in short-term free-way traffic volume forecasting. Transportation Research Record-Journal of the Transportation Research Board, (1802), 190-196.
8. Transportation Research Board (TRB). (2000). Special Report 209: Highway Capacity Manual (4th edition). Washington, DC: National Research Council.
9. Wang, Y. and Nihan, N. (2000). Freeway traffic speed estimation with single-loop outputs. Transportation Research Record - Journal of the Transportation Research Board, (1727), 120-126.
10. Zhou, M. and Hall, F. (1999). Investigation of speed-flow relationship under congested conditions on a freeway. Transportation Research Recor - Journal of the Transportation Research Board, (1678), 64-72.