Advanced International Journal for Research

E-ISSN: 3048-7641     Impact Factor: 9.11

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 4 (July-August 2026) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.

Two-Wheeler Monitoring System for Real-Time Jerk Detection and Rider Alerting Using an Arduino-Based Embedded Device

Author(s) Mr. Rishabh Shah
Country India
Abstract Two-wheeler riders are highly exposed to unsafe riding conditions caused by sudden road irregularities, abrupt braking, and unstable vehicle motion. This paper presents the design and evaluation framework of a low-cost Two-Wheeler Monitoring System that detects sudden jerk events and provides real-time rider alerts using an Arduino-based smart device mounted on the speedometer. The proposed system integrates an Arduino Nano, MPU-6050 accelerometer–gyroscope module, 16×2 liquid crystal display (LCD) with inter-integrated circuit (I2C), buzzer, NeoPixel light-emitting diode (LED), and two button-size vibration motors. The Arduino continuously reads inertial data from the MPU-6050 and computes a jerk score from the change in acceleration magnitude. When the jerk score crosses the predefined threshold, where the given project threshold is interpreted as “range to 1,” the event is classified as JERK. The LCD displays “Jerk detected,” the NeoPixel turns red, the buzzer sounds, and the vibration motors activate. During normal riding, the LCD displays “Normal state” and a computed jerk value. A compact enclosure was computer-aided designed (CAD) and fabricated using polylactic acid (PLA) through three-dimensional (3D) printing for speedometer mounting. Because full field validation was not conducted, this paper presents a methodology and illustrative sample dataset rather than claiming real-world experimental performance. The proposed prototype demonstrates a practical embedded approach for real-time rider feedback and provides a foundation for future adaptive calibration, logging, and Internet of Things (IoT)-enabled safety extensions.
Keywords Arduino Nano, MPU-6050, two-wheeler safety, jerk detection, inertial measurement unit, embedded systems, rider alerting, intelligent transportation systems
Field Computer > Electronics
Published In Volume 7, Issue 3, May-June 2026
Published On 2026-06-28

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