An Intelligent Traffic Signal Control System Based on ARM Cortex-M3

Shan Ying Cheng; Xue Mei Zhou; Qin Jiang

doi:10.4028/www.scientific.net/AMM.602-605.1378

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605An Intelligent Traffic Signal Control System Based...

An Intelligent Traffic Signal Control System Based on ARM Cortex-M3

Abstract:

In order to alleviate traffic jam, an intelligent traffic signal control system base on ARM Cortex-M3 is implemented. In the system, STM32F207 is processor. Embedded RTOS CoOS is transplanted to achieve multi-task control of traffic signal in software design. A new multi-population genetic algorithm is developed to optimize green ratio. The result analysis shows that the system has stable performance and it makes the optimization of green ratio convenient and swift.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1378-1382

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1378

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Online since:

August 2014

Authors:

Shan Ying Cheng*, Xue Mei Zhou, Qin Jiang

Keywords:

ARM Cortex-M3, Multi-Population Genetic Algorithm, TCP/IP, Traffic Signal Control

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* - Corresponding Author

References

[1] Gaoyang TANG. The research and implement of intelligent traffic signal control system. Shenyang: Dongbei University, (2009).

Google Scholar

[2] Hailong Xia. South China University of Technology . (2011).

Google Scholar

[3] Ye-wei XIAO, Xue-feng GUO, HUANG Hui xian. Computer Engineering, 2009, 35(7): 220 222.

Google Scholar

[4] Gan CHAI, Qian ZHAO. 2010, Vol. 44 No. 7.

Google Scholar

[5] Bi Yunrui, Lu Xiaobo. 2013, Vol. 29，No. 2.

Google Scholar

[6] Garcia-Nieto J, Alba E, Swarm intelligence for traffic light scheduling: application to real urban areas. Engineering Applications of Artificial Intelligence, 2012, 25( 2) : 274 283.

DOI: 10.1016/j.engappai.2011.04.011

Google Scholar

[7] Zhao Jinling. The design and realization of self-adaptive crossing traffic control system. Journal of taiyuan university of technology . 2013, Vol. 44, No. 4.

Google Scholar