Multiwave: A novel vehicle steering pattern detection method based on smartphones
Aggressive driving is the main cause of traffic accidents all over the world. Aggressive steering is the second leading cause of traffic accidents, just behind speeding. To detect aggressive steering and encourage drivers to cultivate better driving behaviors, automatic recognition of different vehicle steering modes is required so a decision can be taken on whether the behavior is aggressive or not. This paper investigates various patterns of turning, changing lanes and U turns, and then design and implement a system termed MultiWave that utilizes the gyroscope of a smartphone to automatically detect vehicle steering patterns. MultiWave divides driving behaviors into different categories by analyzing the data collected by gyroscope sensors. Since it analyzes the gyroscopic sensor data of turning, changing lanes and U turns, MultiWave is flexible and robust for most urban situations. The classification accuracy of MultiWave can reach averages of 92% 76.5% and 87% for vehicle turning, changing lanes and U turn, respectively.
2016 IEEE International Conference on Communications (ICC)