This paper introduces a driver identification system architecture for public transport which utilizes only acceleration sensor data. The system architecture consists of three main modules which are the data collection, data preprocessing, and driver identification module. Data were collected from real operation of campus shuttle buses. In the data preprocessing module, a filtering module is proposed to remove the inactive period of the public transport data. To extract the unique behavior of the driver, a histogram of acceleration sensor data is proposed as a main feature of driver identification. The performance of our system is evaluated in many important aspects, considering axis of acceleration, sliding window size, number of drivers, classifier algorithms, and driving period. Additionally, the case study of impostor detection is implemented by modifying the driver identification module to identify a car thief or carjacking. Our driver identification system can achieve up to 99% accuracy and the impostor detection system can achieve the F1 score of 0.87. As a result, our system architecture can be used as a guideline for implementing the real driver identification system and further driver identification researches.
Public Transport Driver Identification System Using Histogram of Acceleration Data
2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
LAUNCH METHOD, LAUNCH DEVICE, ACCELERATION METHOD, MASS DRIVER, AND TRANSPORT SYSTEM
Europäisches Patentamt | 2023
|Object Identification using Fuzzy Logic and Histogram Modification
British Library Conference Proceedings | 1997
|Driver Identification Using Vehicle Telematics Data
SAE Technical Papers | 2017
|