Advanced information feedback in intelligent traffic systems

Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Dec;72(6 Pt 2):066702. doi: 10.1103/PhysRevE.72.066702. Epub 2005 Dec 5.

Abstract

The optimal information feedback is very important to many socioeconomic systems like stock market and traffic systems aiming to make full use of resources. As to traffic flow, a reasonable real-time information feedback can improve the urban traffic condition by providing route guidance. In this paper, the influence of a feedback strategy named congestion coefficient feedback strategy is introduced, based on a two-route scenario in which dynamic information can be generated and displayed on the board to guide road users to make a choice. Simulation results adopting this optimal information feedback strategy have demonstrated high efficiency in controlling spatial distribution of traffic patterns compared with the other two information feedback strategies, i.e., travel time and mean velocity.