MULTIPATH TRAFFIC ASSIGNMENT WITH DYNAMIC INPUT FLOWS

In this paper an assumption made by almost every traffic model in use today in transportation planning is relaxed, that is the assumption of the stationarity of the traffic flow where the input flows are assumed constant through time. It is important to refine the presently used traffic models which are supposed to simulate the reality to the case of non stationary models. The study of the dynamic aspect of the traffic flow patterns, their evolution with time and location is a key to a better understanding of the transportation phenomena. We present in this study an approach to the realization of this goal by adapting the probabilistic multipath assignment model to the case of non stationary input flows. The probabilistic multipath assignment model introduced by dial (transpn res. 5, 83-111, 1972) is a multipath generalization of the all-or-nothing model and subsumes it as a particular case. Given non stationary input flows the assignment model evaluates for each point of the transportation network, the flow distribution through time. This allows it to study the formation and the evolution of congestion and gives a more precise image of the reality. The algorithm implementing this dynamic model uses repeatedly an adapted version of the algorithm for the stationary case and a fast Fourier transform procedure. /TRRL/

• Corporate Authors:

  Pergamon Press, Incorporated

  Maxwell House, Fairview Park
  Elmsford, NY  United States  10523
• Authors:
  • Robillard, P
• Publication Date: 1974-12

Language

• English

Media Info

• Features: Figures; References;
• Pagination: p. 567-573
• Serial:
  • Transportation Research /UK/
  • Volume: 8
  • Issue Number: 6
  • Publisher: Pergamon Press, Incorporated

Subject/Index Terms

• TRT Terms: Algorithms; Dynamics; Mathematical models; Networks; Probability; Probability theory; Time; Traffic assignment; Traffic distribution; Traffic flow; Traffic flow theory
• Uncontrolled Terms: Dynamic characteristics; Models
• ITRD Terms: 729: Cross border traffic; 5473: Dynamics; 6473: Mathematical model; 6534: Probability; 5414: Time; 679: Traffic assignment; 671: Traffic flow
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I71: Traffic Theory;

Filing Info

• Accession Number: 00125105
• Record Type: Publication
• Source Agency: Transport and Road Research Laboratory (TRRL)
• Files: ITRD, TRIS
• Created Date: Nov 18 1975 12:00AM