Author(s)

Lin Xinyi ¹, Zhang Jiachuan ¹, Hu Yongju ¹

Affiliation(s)

¹ College of Engineering, Zhejiang Normal University, Jinhua, Zhejiang, China

Corresponding Author

Hu Yongju

ABSTRACT

In recent years, the occurrence of traffic accidents in China has been generally on the rise. Especially in some curved areas where the line of sight is obstructed, due to mountains, trees and other objects blocking, vehicle drivers can not know the road ahead, making traffic accidents occur frequently. In this paper, the combination of pyroelectric infrared sensor and Fresnel lens group is used to increase the distance and range of detecting vehicles and pedestrians on the road, improve the detection and reception sensitivity, monitor the road situation in real time, and transmit the signal to the control device after processing, and the control device will control the work of the warning device in order to guarantee the traffic safety of the curves with obstructed view. On the basis of retaining the traditional convex mirror device, warning lights and alarms have been added to provide three different ways of reminding oncoming vehicles or pedestrians in different directions, playing a triple warning role to protect people's safe travel.

KEYWORDS

Pyroelectric Infrared Sensor, Traffic Warning, Obstructed Sight

CITE THIS PAPER

Lin Xinyi, Zhang Jiachuan, Hu Yongju, Design of Obstructed Sight Traffic Warning Device Based on Pyroelectric Infrared Sensor. Advances in Computer, Signals and Systems (2023) Vol. 7: 83-88. DOI: http://dx.doi.org/10.23977/acss.2023.071112.

REFERENCES

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[2] Fu Ting, Li Jun, Lu Lili. Hardware Design of Crossing Warning System on Country Roads[J]. Journal of Southwest China Normal University(Natural Science Edition), 2012,37(03):137-140.
[3] Hu Yong, Wang Xiao, Dong Xinyu, et al. Design of the Traffic Early Warning Equipment Based on Single Chip[J]. Instrumentation Technology, 2010(12):4-5.
[4] Lv Xingchen, Yang Guojing, Song Hao.A New Type of Vehicle Meeting Warning System for Curved Roads[J]. China Science & Technology Overview, 2017(10):1-2.
[5] Xie Rui, Dong Xueshen, Deng Kaiwen, et al. Design of Traffic Intelligence Early Warning System for Blind Spots on Mountain Roads[J]. Highway, 2020,65(07):223-227.

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