A novel lattice hydrodynamic model considering the optimal estimation of flux difference effect on two-lane highway

Guanghan Peng, Shuhong Yang, Dongxue Xia and Xiaoqin Li

Physica A: Statistical Mechanics and its Applications, 2018, vol. 506, issue C, 929-937

Abstract: The optimal estimation of flux difference effect is introduced to construct a new lattice hydrodynamic model for two-lane highway. Through linear stability analysis, it is found that the new consideration plays an important influence upon the stability of two-lane traffic flow. Moreover, the mKdV equation near the critical point is derived from nonlinear analysis, which describes the propagation behavior of traffic jam in two-lane traffic system. Simulation results show that the stability of two-lane traffic system can be increased and the emergence of traffic jams are effectively relieved by the optimal estimation of flux difference effect, which is in good agreement with theoretical analysis.

Keywords: Traffic flow; Lattice hydrodynamic model; Optimal estimation of flux difference; Nonlinear analysis (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437118305739
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:506:y:2018:i:c:p:929-937

DOI: 10.1016/j.physa.2018.05.036

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().