Flux information feedback strategy in intelligent traffic systems
Department of Modern Physics, University of Science and Technology of China - Hefei 230026, China
2 College of Physics and Electronic Engineering, Nanning Normal University - Nanning 530001, China
3 The Research Center for Complex System Science, University of Shanghai for Science and Technology and Shanghai Academy of System Science - Shanghai 200093, China
Accepted: 14 November 2011
To effectively alleviate the traffic congestion in urban areas, scientists and engineers have put forward intelligent traffic systems. The information feedback strategy, serving as the critical part of intelligent traffic systems, has been treated with growing emphasis. In this paper, we present two new strategies using the flux as feedback information. One is the time flux feedback strategy (TFFS), the other is the space flux feedback strategy (SFFS). We report the simulation results adopting these two feedback strategies together with the other previously reported ones in a two-route scenario with two exits. The result suggests that SFFS, which outperforms the other categories of feedback strategy, not only in terms of the value of vehicle number and average flux but also in terms of convenience of its application to real traffic conditions, is the best.
PACS: 45.70.Vn – Granular models of complex systems; traffic flow / 89.75.-k – Complex systems / 07.05.Tp – Computer modeling and simulation
© EPLA, 2012