Driver Behavior Analysis Based on Smartphone Sensor Data

Driving behavior plays a vital role in maintaining safe and sustainable transport, and specifically, in the area of traffic management and control, driving behavior is of great importance since specific driving behaviors are significantly related with traffic congestion levels. Beyond that, it affects fuel consumption, air pollution, public health as well as personal mental health and psychology. Use of Smartphone sensors for data acquisition has emerged as a means to understand and model driving behavior. Our aim is to analyze driving behavior using on Smartphone sensors’ data streams. We present Smartphone sensor (Accelerometer, Gyroscope, Proximity, etc.) data recorded in live traffic while driver was executing the driving events.

驾驶行为在维护安全与可持续的交通运输中扮演着至关重要的角色，尤其是在交通管理与控制领域。具体而言，驾驶行为与交通拥堵程度密切相关，因而显得尤为重要。此外，驾驶行为还影响燃油消耗、空气污染、公共卫生以及个人心理健康与心理状态。利用智能手机传感器进行数据采集，已成为理解与建模驾驶行为的一种新兴手段。我们的目标是利用智能手机传感器的数据流来分析驾驶行为。本研究展示了在实时交通场景中，当驾驶员执行驾驶事件时，所记录的智能手机传感器数据（如加速度计、陀螺仪、接近传感器等）。