Advanced information feedback strategy in intelligent two-route traffic flow systems

作     者：DONG ChuanFei1,2, MA Xu1,3 & WANG BingHong1,4 1Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China (USTC), Hefei 230026, China 2School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA 3 Department of Physics, Syracuse University, Syracuse, NY 13244, USA 4The Research Center for Complex System Science, University of Shanghai for Science and Technology and Shanghai Academy of System Science, Shanghai 200093, China 

作者机构：Department of Modern Physics and Nonlinear Science Center University of Science and Technology of China (USTC) School of Earth and Atmospheric Sciences Georgia Institute of Technology Department of Physics Syracuse University The Research Center for 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2010年第53卷第11期

页      面：2265-2271页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 082303[工学-交通运输规划与管理] 082302[工学-交通信息工程及控制] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0823[工学-交通运输工程] 

基　　金：supported by the National Basic Research Program of China (Grant No. 2006CB705500) the National Natural Science Foundation of China (Grant Nos. 10975126, 10635040) the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20093402110032) 

主　　题：vehicle number feedback strategy two-route selecting traffic flow intelligent vehicle cellular automaton model 

摘      要：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 study dynamics of traffic flow with real-time information. The influence of a feedback strategy named vehicle number feedback strategy (VNFS) is introduced, in which we only calculate the vehicle number of first 500 route sites from the entrance. Moreover, the two-route traffic system has only one entrance and one exit, which is different from those in the previous work. Our model incorporates the effects of adaptability into the cellular automaton models of traffic flow, and simulation results by adopting this optimal information feedback strategy have demonstrated higher efficiency in controlling spatial distribution of traffic patterns than the other three information feedback strategies, i.e., TTFS, MVFS and CCFS.