Modeling and characteristics of the fundamental diagram for lagrangian-space kinematic wave model

Han Yang, Peter J. Jin, Dongyuan Yang, Jianhao Yang, Jian Zhang

Research output: Contribution to conferencePaperpeer-review

Abstract

With the emergence of probe vehicle technologies, the Lagrangian LWR (Lighthill-Whitham-Richards) model has received increasing interests due to its numerical accuracy and efficiency, as well as the ease of formulating mobile sensor data. The objective of this paper is to investigate the empirical p-? model for the Lagrangian-space model recently introduced in Hamilton-Jacobi theory. In this paper, we proposed a piecewise formulation for the p-? model and conducted a regression analysis based on the field traffic flow data. The regression results demonstrated the concentration of the p-? diagram: R square is 0.75 for the p-? diagram but 0.58 for the q-k diagram which is often used for the Euler coordinate based on the same field data. Meanwhile, the p-? model was found to be continuous. Thus, the partial differential equations can be formulated and conducted simply eliminating discontinuous points. Finally, the hysteresis loop characteristic was also investigated, and most loops were found to be clockwise. Therefore, for the p-? model, the potential benefit in traffic condition (especially jam) recognition, as well as the outstanding accuracy in the regression analysis will be achieved. What's more, the methodology and models in this article can provide valuable insights for the capacity calculation and the MFD (Macroscopic Fundamental Diagram) modeling in traffic engineering.

Original languageEnglish (US)
StatePublished - 2014
Externally publishedYes
Event21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014 - Detroit, United States
Duration: Sep 7 2014Sep 11 2014

Other

Other21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014
Country/TerritoryUnited States
CityDetroit
Period9/7/149/11/14

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering
  • Automotive Engineering
  • Transportation
  • Electrical and Electronic Engineering

Keywords

  • Fundamental Diagram
  • Hamilton-Jacobi theory
  • Kinematic wave model
  • LWR model
  • Lagrangian-space model
  • Probe vehicle technology
  • Traffic flow theory

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