Prediction feedback in intelligent traffic systems

The optimal information feedback has a significant effect on many socioeconomic systems like stock market and traffic systems aiming to make full use of resources. In this paper, we studied dynamics of traffic flow with real-time information provided and the influence of a feedback strategy named pr...

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Bibliographic Details
Published in:Physica A 2009-11, Vol.388 (21), p.4651-4657
Main Authors: Dong, Chuan-Fei, Ma, Xu, Wang, Guan-Wen, Sun, Xiao-Yan, Wang, Bing-Hong
Format: Article
Language:English
Subjects:
Cellular automaton
Prediction feedback
Traffic flow
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Summary:The optimal information feedback has a significant effect on many socioeconomic systems like stock market and traffic systems aiming to make full use of resources. In this paper, we studied dynamics of traffic flow with real-time information provided and the influence of a feedback strategy named prediction 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. Our model incorporates the effects of adaptability into the cellular automaton models of traffic flow and simulation results adopting this optimal information feedback strategy have demonstrated high efficiency in controlling spatial distribution of traffic patterns compared with the other three information feedback strategies, i.e., vehicle number and flux.
ISSN:0378-4371
1873-2119
DOI:10.1016/j.physa.2009.07.018