Abstract
In order to meet the driving safety warning required for different driver types and situations, a new lane departure warning (LDW) algorithm was proposed. Its adaptability is much better through setting the different thresholds of time to lane crossing (TLC) using fuzzy control method for driver with different driving behaviors in different lanes and different vehicle movements. To ensure the accuracy of computation of TLC under the different actual driving scenarios, the algorithm was established based on vehicle kinematics and advanced mathematics compared to other ways of computation of TLC. On this basis, a LDW strategy determining driver's intentions was presented by introducing identifying vehicle movements. Finally, a vast quantity of the real vehicle experiments was given to demonstrate the effectiveness of the proposed LDW algorithm. The results of the tests show that the algorithm can decrease false alarm rate effectively because of distinguishing from unconscious by real-time vehicle movements, and promote the adaptability to the driver behavior characteristics, so it has favorable driver acceptance and strong intelligence.
Highlights
Traffic accidents have become the first public nuisance of modern society all over the world, which caused great loss of the national people’s lives and property
According to the Federal Highway Administration Research, lane departure warning system (LDWS) can avoid the 30–70% traffic accidents resulting from lane departure
The LDWS was intended to alert drivers to departure situations caused by drowsiness, alcohol, or distraction and so on, anticipating that drivers will make immediate adjustments in their direction, speed, or both to avoid accidents, which was considered an integral part of driver assistant system
Summary
Traffic accidents have become the first public nuisance of modern society all over the world, which caused great loss of the national people’s lives and property. The study of LDWS played an important role in improving the road traffic safety and reducing the number of deaths and economic loss of traffic accidents. In order to reduce false alarm rate, how to compute the TLC, set the time threshold, and lay down the warning strategies is the core as well as the main contribution of the paper. They are explained in more detail one by one .
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