Dynamic weight in intelligent transportation systems: A comparison based on two exit scenarios

Chuanfei Dong and Xu Ma

Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, issue 8, 2712-2719

Abstract: Proposing a good exit scenario can make great contributions to improving road conditions. The influence of two exit scenarios, which depend on the dynamic behavior of the last vehicle (that closest to the exit), on the route flux, vehicle number, and speed by using two feedback strategies with different arrival rates (Vp) was studied. We find that the weight of the route is dynamic instead of static, which depends on the real route conditions. In our case study, we find that the flux threshold value with respect to the necessity of applying information feedback strategy is 0.32 (which corresponds to Vp≈0.65). Further, we illustrate the velocity distribution plots of each route, which provide us with most of the important information we need, when adopting different feedback strategies and exit scenarios with two arrival rates (Vp).

Keywords: Dynamic weight; Congestion cluster; Exit scenario; Intelligent traffic systems; Cellular automaton model; Velocity distribution (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437111009071
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:391:y:2012:i:8:p:2712-2719

DOI: 10.1016/j.physa.2011.12.010

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 ().