New Smartphone App Uses GPS Technology to Warn Drivers of Lane Departures [Research Summary]
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2024-10-01
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Abstract:Unintentional lane departure is a significant safety risk. Currently, available commercial lane departure warning systems use vision- based or GPS technology with lane-level resolution. These techniques have their own performance limitations in poor weather conditions. The authors have previously developed a lane departure detection (LDD) algorithm using standard GPS technology. The authors' algorithm acquires the trajectory of a moving vehicle in real-time from a standard GPS receiver and compares it with a road reference heading (RRH) to detect any potential lane departure. The necessary RRH is obtained from one or more past trajectories using the authors' RRH generation algorithm. This approach has a significant limitation due to its dependency on past trajectories. To overcome this limitation, the authors have integrated Google routes in addition to past trajectories to extract the RRH of any given road. This advancement has been incorporated into a newly developed smartphone app, which now combines the authors' previously developed LDD algorithm with the enhanced RRH generation algorithm. The app effectively detects lane departures and provides real-time audible warnings to drivers. Additionally, the authors have designed the app's database structure and completed the programming of the necessary algorithms. To evaluate the performance of the newly developed smartphone app, the authors perform many field tests on a freeway. The authors' field test results show that the authors' smartphone app can accurately detect all lane departures on long straight sections of the freeway irrespective of whether the RRH is generated from a Google route or past trajectory.
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