
A modified feedback controlled car-following model considering the comprehensive information of the nearest-neighbor leading car
Author(s) -
Dihua Sun,
Tong Zhou,
Weining Liu,
Linjiang Zheng
Publication year - 2013
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.62.170503
Subject(s) - headway , computer science , cyber physical system , control (management) , traffic model , scheme (mathematics) , traffic congestion , boundary (topology) , perspective (graphical) , work (physics) , control theory (sociology) , simulation , transport engineering , computer network , physics , mathematics , artificial intelligence , engineering , mathematical analysis , operating system , thermodynamics
Congestion control is a process to achieve optimal decision-making and effective control of vehicles through the interaction of vehicular perception and control, it shows the typical characteristic of cyber physical systems. Based on the pioneer work of Konishi et al., we present a new feedback control scheme to suppress traffic jam in the coupled map car-following model under open boundary condition, which considers the effect of safe headway and optimal velocity difference on the traffic system from the perspective of tight conjoining between the transportation cyber system and the transportation physical system. According to the control theory, the condition under which traffic jam can be suppressed is analyzed. Both theoretical analyses and simulation results show that the suppression performance of our scheme is better than those of the previous schemes, although all the schemes can suppress traffic jam.