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The Frontiers of Society, Science and Technology, 2021, 3(2); doi: 10.25236/FSST.2021.030205.

The Application Study of the Assisted-Driving System Based on Internet of Things System


Xinyu Zhang1, Xinyu Chen2, Haolun Cheng3, Yue Yu4

Corresponding Author:
Xinyu Zhang

1School of Optoelectronic and Science and Engineering, University of Electronic and Technology of China, Chengdu, Sichuan 611731, China

2College of Letters and Science, UCSB, Goleta, California 93117, United States

3School of Arts and Science, Rutgers University-New Brunswick, New Brunswick, 08901, United States

4Hangzhou No.2 High School, Hangzhou, Zhejiang 310000, China


In view of the instability and high-risked motor vehicle collision, this work proposes an Assisted Driving System (ADS) based on Internet of Things (IoT) concepts to prevent traffic accident. In detail, ADS utilizes Automated Emergency Braking (AEB) and embedded actuators in the steering wheel to control the vehicle in an emergency situation. AEB consists of four different subsystems that allow the vehicle to recognize potential collision and need to full-stop in interaction with pedestrian, biker, another vehicle, and infrastructure. Pedestrians and bikers need an application or Simplified System Device (SSD) to receive feedback from the interaction. Radar sensors, front-camera, RFID sensor and Speedometer also allow the ADS to operate on a single-vehicle circumstances. It is believed that the proposed system of this work has great application prospects.


Internet of Things (IoT), Assisted Driving System, Collision Avoiding, Automated Emergency Braking

Cite This Paper

Xinyu Zhang, Xinyu Chen, Haolun Cheng, Yue Yu. The Application Study of the Assisted-Driving System Based on Internet of Things System. The Frontiers of Society, Science and Technology (2021) Vol. 3, Issue 2: 27-34. https://doi.org/10.25236/FSST.2021.030205.


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