Indirect Road Departure Mitigation System for Passenger Vehicle

Road departures remain a major cause of fatal accidents in passenger vehicles, especially on highways, driving the demand for robust and accessible active safety technologies. Conventional Road Departure Mitigation Systems (RDMS) typically depend on camera- or LiDAR-based sensing, which can be cost-prohibitive and challenging to integrate across diverse vehicle platforms. While existing RDMS solutions have enhanced vehicle safety, their dependency on expensive, specialized sensors limits broader adoption, particularly in cost-sensitive market segments. This study introduces a sensor-less, cost-effective Road Departure Mitigation (RDM) system that utilizes existing vehicle sensors accessed through CAN channels. A threshold-based logic algorithm processes key parameters such as vehicle speed, steering angle, yaw rate, and lateral acceleration to detect potential road departure events. Upon detection, the system initiates a two-stage intervention: a driver alert followed by automatic corrective steering through the Electric Power Assisted Steering (EPAS) system, ensuring the vehicle remains within lane boundaries. The proposed methodology has been digitally validated using AMESim simulations, demonstrating functional robustness across a variety of driving conditions. This approach offers a scalable, affordable, and easily deployable solution for enhancing vehicle safety without the need for additional hardware investments.