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Research of Intelligent Control of Traffic Signal
| Content Provider | Semantic Scholar |
|---|---|
| Author | Li, Xiaohong Du, Jinsong Hu, Jingtao Bi, Xin |
| Copyright Year | 2014 |
| Abstract | At present, in the field of intelligent control of traffic signal, most of scholars at home and abroad use fuzzy control and intelligent algorithm, such as genetic algorithm, ant colony optimization, particle swarm optimization, multi-agent, artificial neural networks, fuzzy method etc. This paper summarizes and analyzes these algorithms, points out the problems and shortcomings in the present research, puts forward the direction and trend in the future research. These works have certain directive significance to the research and development of intelligent control of traffic signal. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ir.sia.cn//bitstream/173321/15347/2/Research%20of%20Intelligent%20Control%20of%20Traffic%20Signal.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Ant colony optimization algorithms Artificial neural network Directive (programming) Fuzzy control system Genetic algorithm Intelligent control Mathematical model Mathematical optimization Multi-agent system Nonlinear system Numerous Particle swarm optimization |
| Content Type | Text |
| Resource Type | Article |
