An Integrated Solution Based Irregular Driving Detection

Rui Sun, Shaojun Feng, Washington Y. Ochieng

Abstract:	Global Navigation Satellite Systems (GNSS) has been widely used in Intelligent Transportation System (ITS) services. Nowadays, most of the road level applications can be fulfilled by current meter level system availability, such as route guide, fleet management and traffic control. However, meter level of system performance is still insufficient for advanced lane level safety applications. These safety applications requires centimeter/decimeter level positioning accuracy, with high integrity, continuity and availability include lane control, collision avoidance and intelligent speed assistance etc. Detecting lane level irregular driving behavior is the basic requirement for the lane level required ITS applications. The two major issues involved in the lane level irregular driving identification are accessing to high accuracy positioning and vehicle dynamic parameters and extraction of erratic driving behaviour from this and other related information. This paper proposes an integrated solution for the lane level irregular driving detection. Access to high accuracy positioning is enabled by GNSS and Inertial Navigation System (INS) integration using filtering with precise vehicle motion models and lane information. The detection of different types of irregular driving behaviour is based on the application of a Fuzzy Inference System (FIS). The field test results show that sub-meter level accuracy can be achieved and different types of lane level irregular driving behaviour can be identified.
Published in:	Proceedings of the 27th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2014) September 8 - 12, 2014 Tampa Convention Center Tampa, Florida
Pages:	548 - 558
Cite this article:	Sun, Rui, Feng, Shaojun, Ochieng, Washington Y., "An Integrated Solution Based Irregular Driving Detection," Proceedings of the 27th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2014), Tampa, Florida, September 2014, pp. 548-558.
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