Development and Demonstration of an In-Vehicle Lane Departure Warning System Using Standard GPS Technology

Chowdhury, Shahnewaz; Hossain, Md Touhid; Hayee, M. I. · 2021 · ROSA P / Minnesota. Dept. of Transportation. Office of Policy Analysis, Research & Innovation

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Summary

This research addresses the limitations of existing Lane Departure Warning Systems (LDWS), particularly their susceptibility to false alarms and performance degradation in adverse weather or poor road conditions. While camera-based systems struggle with obscured lane markings and high-resolution map-based systems are costly, the authors previously developed a GPS-based LDWS using low-resolution open-source maps. However, that system suffered from false alarms due to inherent inaccuracies in map-derived Road Reference Headings (RRH). This study aims to eliminate these false alarms by developing a novel algorithm that generates an accurate RRH from a vehicle’s own past GPS trajectories rather than relying on static digital maps. The methodology involves a three-stage algorithm to convert past GPS trajectory data into a composite RRH. First, the algorithm identifies straight, curved, and transition sections of a road segment by analyzing vehicle heading and differential heading data. Second, it characterizes each section using optimized parameters, such as Path Average Heading and Path Average Slope, to define the RRH at every point. Third, these individual sections are combined to create a complete RRH for the road segment, which is stored in the vehicle’s database. To address the limitation that a vehicle cannot generate an RRH for a road it has never traveled, the researchers also designed a Vehicle-to-Vehicle (V2V) communication protocol. This allows a vehicle traveling a new route to request and receive the necessary RRH data from a neighboring vehicle that has previously traversed that road, using either Dedicated Short-Range Communication (DSRC) or Cellular V2V. Field tests were conducted on a 4.2 km segment of Interstate I-35 near Duluth, Minnesota, to evaluate the system’s performance. The results demonstrated that the new RRH generation algorithm significantly improved the LDWS’s accuracy. The system successfully detected all true unintentional lane departures while practically reducing the frequency of false alarms to zero. In comparative tests, the previous map-based system issued multiple false alarms on the same trajectory, whereas the new trajectory-based system did not. The V2V communication component was also demonstrated to successfully transfer RRH data between vehicles. The significance of this work lies in providing a robust, cost-effective alternative to camera and high-resolution map-based LDWS technologies. By leveraging standard GPS receivers and historical trajectory data, the system maintains high accuracy regardless of weather conditions or road marking visibility. The integration of V2V communication or potential future integration with smartphone navigation apps (like Waze or Google Maps) ensures that the system remains functional even on unfamiliar routes. This approach offers a scalable solution for reducing roadway departure crashes, which account for a substantial portion of traffic fatalities, without requiring expensive hardware or high-precision mapping infrastructure.

Key finding

The newly developed road reference heading generation algorithm significantly improved the performance of the lane departure warning system by accurately detecting all true lane departures while practically reducing the frequency of false alarms to zero.

Methodology

field_study

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

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• lane positioning