Study on Automatic Control of Urban Traffic Based on Computer Vision

Peng Sun; Tong Qiang Ding; Li Li Zheng

doi:10.4028/www.scientific.net/AMR.760-762.1164

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 760-762Study on Automatic Control of Urban Traffic Based...

Study on Automatic Control of Urban Traffic Based on Computer Vision

Abstract:

Urban traffic control is not only a real-time control system but also random, non-linear, uncertainty complex system; the article discusses the use of PLC (programmable logic controller) control technology and fuzzy control method for traffic signal control system and how to complete the complex traffic control by using communications link technology between computers and application of fuzzy control theory, make vehicle and road navigation to realize intelligent.

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Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1164-1168

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.760-762.1164

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Online since:

September 2013

Authors:

Peng Sun, Tong Qiang Ding, Li Li Zheng

Keywords:

Automatic Control, Fuzzy Control, PLA, Signal Control, Urban Transportation

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References

[1] Signalbau Huber AG, VRS2100 Traffic Computer System, The Data sheet of Productions Introduction, (2009).

Google Scholar

[2] Horst Strobel. Computer Controlled Urban Transportation. (1998).

Google Scholar

[3] O. Chen, A. Hotz and M. Ben-Akiva , Development and Evaluation of a Dynamic Metering Control Model[J]. IFAC Transportation Systems, (2007).

Google Scholar

[4] Transportation Research Circular. Interim Materialon Highway Capacity. Washington DC : TRB. National Research Council. (1980).

Google Scholar

[5] Montes J C, Llorca R M, Fernández L M. Interpretable fuzzy models from data and adaptive fuzzy control: A new approach. IEEE International Conference on Fuzzy Systems . (2007).

DOI: 10.1109/fuzzy.2007.4295604

Google Scholar

[6] P. Sivashanmugam, N. Kanagaraj, R. Kumar. Real Time Rate of Change of Pressure Measurement and Pressure Control. Journal of Scientific and Industrial Research, vol. 66, no. 2, p.120–123, (2007).

Google Scholar

[7] M. Sampath Y.L. Chen. A Centralized Seheme for Real-Time Optimization of Traffic Signals. IEEE International Conference on Control Applications. 2006，2: 582-589.

Google Scholar