Equilibrium of a two-route system with delayed information feedback strategies

Abstract In intelligent transport system, some advanced information feedback strategies have been developed to reduce the oscillations and enhance the capacity on the road level. However, seldom strategies have considered the information delay and user equilibrium (UE) objective. Here, a derivative cost feedback strategy (DCFS) is proposed to reduce the influence of the delay, based on the UE principle. The simulation results show that in both no-delay and delay information cases, DCFS are the best and can make the system reaching the UE. Because DCFS can predict the trend of the travel cost.

[1]  A. Schadschneider,et al.  Statistical physics of vehicular traffic and some related systems , 2000, cond-mat/0007053.

[2]  Weiwei Zhang,et al.  Flux information feedback strategy in intelligent traffic systems , 2012 .

[3]  Anna Nagurney,et al.  Projected Dynamical Systems in the Formulation, Stability Analysis, and Computation of Fixed-Demand Traffic Network Equilibria , 1997, Transp. Sci..

[4]  Binghong Wang,et al.  Advanced information feedback strategy in intelligent two-route traffic flow systems , 2010, Science China Information Sciences.

[5]  D. Helbing Traffic and related self-driven many-particle systems , 2000, cond-mat/0012229.

[6]  J. G. Wardrop,et al.  Some Theoretical Aspects of Road Traffic Research , 1952 .

[7]  Tao Zhou,et al.  Advanced information feedback in intelligent traffic systems. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  Bing-Hong Wang,et al.  Weighted congestion coefficient feedback in intelligent transportation systems , 2010 .

[9]  Pak Ming Hui,et al.  Effects of Announcing Global Information in a Two-Route Traffic Flow Model , 2001 .

[10]  Takashi Nagatani,et al.  Effect of signals on two-route traffic system with real-time information , 2012 .

[11]  Ana L. C. Bazzan,et al.  The impact of real-time information in a two-route scenario using agent-based simulation , 2002 .

[12]  Bing-Hong Wang,et al.  A comprehensive study of advanced information feedbacks in real-time intelligent traffic systems , 2012 .

[13]  Xiaoyan Sun,et al.  Effects of prediction feedback in multi-route intelligent traffic systems ☆ , 2009, 0909.5202.

[14]  F. Kluegl,et al.  Decision dynamics in a traffic scenario , 2000 .

[15]  Xiao-Yan Sun,et al.  Prediction feedback in intelligent traffic systems , 2009 .