Open AccessA cellular automaton model for studying the on-ramp control of highway
Author(s) -
Mei Chao-Qun,
Hai-Jun Huang,
Tang Tie-Qiao
Publication year - 2008
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.57.4786
Subject(s) - cellular automaton , computer science , traffic signal , cover (algebra) , signal (programming language) , control (management) , upstream (networking) , traffic model , simulation , real time computing , algorithm , computer network , artificial intelligence , engineering , mechanical engineering , programming language
In this paper, a cellular automaton model for studying the on-ramp traffic control problem of highway is proposed. The number of vehicles contained in a highway segment adjacent to the ramp merging region is used to control the on-ramp signal light. Simulation results show that the on-ramp control can improve the highway traffic, particularly when the ramp traffic is heavy. It is found that the location of detected highway segment, the length of ramp merging region and the control parameter governing the light change affect the highway and ramp traffic simultaneously. These three parameters should be coordinately designed for the improvement of both highway and ramp traffic. In general, the detected highway segment should be located at the upstream of the ramp merging region and cover it in the proper direction.