scholarly journals Implementation of Real-time Dangerous Driving Behavior Analysis Utilizing the Digital Tachograph

2015 ◽  
Vol 20 (2) ◽  
pp. 55-62 ◽  
Author(s):  
Yoo-Won Kim ◽  
Joon-Gyu Kang
Keyword(s):  
Behavior Analysis ◽  
Real Time ◽  
Driving Behavior ◽  
Dangerous Driving

scholarly journals Driving Behavior Analysis of City Buses Based on Real-Time GNSS Traces and Road Information

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 687 ◽  
Author(s):  
Yuan Yang ◽  
Jingjie Yan ◽  
Jing Guo ◽  
Yujin Kuang ◽  
Mingyang Yin ◽  
...  
Keyword(s):  
Behavior Analysis ◽  
Real Time ◽  
Public Transportation ◽  
Driver Behavior ◽  
Field Tests ◽  
Satellite System ◽  
Driving Behavior ◽  
Urban Environments ◽  
Urban Traffic ◽  
Intelligent Transport System

The driving behavior of bus drivers is related to the safety of all passengers and regulation of urban traffic. In order to analyze the relevant characteristics of speed and acceleration, accurate bus trajectories and patterns are essential for driver behavior analysis and development of effective intelligent public transportation. Exploiting real-time vehicle tracking, this paper develops a platform with vehicle-mounted terminals using differential global navigation satellite system (DGNSS) modules for driver behavior analysis. The DGNSS traces were used to derive the vehicle trajectories, which were then linked to road information to produce speed and acceleration matrices. Comprehensive field tests were undertaken on multiple bus routes in urban environments. The spatiotemporal results indicate that the platform can automatically and accurately extract the driving behavior characteristics. Furthermore, the platform’s visual function can be used to effectively monitor driving risks, such as speeding and fierce acceleration, in multiple bus routes. The details of the platform’s features are provided for intelligent transport system (ITS) design and applications.

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