2011
DOI: 10.4028/www.scientific.net/amm.135-136.389
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Design and Realization of Multi-Stage Traffic Signal Controller of Variable Phase

Abstract: The present traffic controllers are most run in 2,3 or 4 phase mode at single point intersections, but the transition of different phase modes during traffic controlling is not flexible. In view of this deficiency, a multi-stage traffic signal controller of variable phases was designed and realized. It is equipped with a single chip microcomputer as the core, signal lights driver circuit, real-time clock, keys and LCD display modules etc. By means of physical simulation, the results show that this controller c… Show more

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“…It mainly uses grade crossing as the research object and only considers a single intersection when carrying out traffic signal control, that is, the research only allows a signalized intersection to work and it does not establish a connection with other adjacent intersections. For the research of single-point control, Huang et al (2015) proposed an urban traffic signal optimization control algorithm based on a pseudo-neural network; Xu et al (2011) researched and designed a variable multi-phase traffic signal controller; Liao and Wang (2012) established a non-linear function model for optimization of two-phase signal timing at single-point intersections in the multi-objective city and solved it with genetic algorithm; In view of the dynamics and randomness of the traffic system, Zhu and Chen (2013) proposed an adaptive control model for signalized intersections. Arterial coordination control. That is, the adjacent intersections are connected to coordinate control.…”
Section: Related Workmentioning
confidence: 99%
“…It mainly uses grade crossing as the research object and only considers a single intersection when carrying out traffic signal control, that is, the research only allows a signalized intersection to work and it does not establish a connection with other adjacent intersections. For the research of single-point control, Huang et al (2015) proposed an urban traffic signal optimization control algorithm based on a pseudo-neural network; Xu et al (2011) researched and designed a variable multi-phase traffic signal controller; Liao and Wang (2012) established a non-linear function model for optimization of two-phase signal timing at single-point intersections in the multi-objective city and solved it with genetic algorithm; In view of the dynamics and randomness of the traffic system, Zhu and Chen (2013) proposed an adaptive control model for signalized intersections. Arterial coordination control. That is, the adjacent intersections are connected to coordinate control.…”
Section: Related Workmentioning
confidence: 99%