Automated Speedbump System
TJ Asuncion, Paul Banh, Anthony Delacruz, Nikolas Johnson
School of Engineering
Faculty Supervisor: Kenya Mejia
The transportation sector faces a critical safety concern as drivers frequently exceed posted speed limits, particularly in high-risk areas such as school zones. To address this issue, this project introduces an Automated Speed Bump system designed to detect speeding vehicles and provide immediate physical feedback. The system utilizes a Doppler radar sensor to measure the speed of approaching vehicles by detecting frequency shifts in reflected signals, while an infrared (IR) sensor confirms vehicle presence to reduce false triggers. These inputs are processed by an STM32L476 microcontroller, which compares the measured speed against a predefined threshold. If the vehicle exceeds the allowable speed, the system activates a mechanical deployment mechanism using an actuator and torsion spring to raise the speed bump; otherwise, the bump remains flat, allowing compliant vehicles to pass without interruption. This adaptive design improves upon traditional static speed bumps by enhancing driver comfort and reducing unnecessary vehicle wear. Additionally, it addresses a significant safety issue, as increasing vehicle speed from 20 mph to 40 mph raises the risk of serious or fatal pedestrian injury from approximately 8% to 46% . A fully integrated prototype has been developed and evaluated, demonstrating reliable speed detection, rapid system response, and consistent mechanical actuation under controlled testing conditions.