An Integrated Solution Based Irregular Driving Detection

1. Auflage 2017
ISBN: 978-3-319-44925-8
Verlag: Springer International Publishing

Buch, Englisch, 127 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 3613 g

Reihe: Springer Theses

This thesis introduces a new integrated algorithm for the detection of lane-level irregular driving. To date, there has been very little improvement in the ability to detect lane level irregular driving styles, mainly due to a lack of high performance positioning techniques and suitable driving pattern recognition algorithms. The algorithm combines data from the Global Positioning System (GPS), Inertial Measurement Unit (IMU) and lane information using advanced filtering methods. The vehicle state within a lane is estimated using a Particle Filter (PF) and an Extended Kalman Filter (EKF). The state information is then used within a novel Fuzzy Inference System (FIS) based algorithm to detect different types of irregular driving. Simulation and field trial results are used to demonstrate the accuracy and reliability of the proposed irregular driving detection method.

Zielgruppe

Research

Autoren/Hrsg.

Sun, Rui

Fachgebiete

• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Fahrzeugtechnik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung

Inhaltsverzeichnis

Table of Contents.- Acknowledgements.- Declaration of Contribution.- Copyright Declaration.- Abstract.-Chapter 1 Introduction.- Chapter 2 Road Safety and Intelligent Transport Systems.- Chapter 3 State-of-the-art in Irregular Driving Detection.- Chapter 4 A New System for Lane Level Irregular Driving Detection.-Chapter 5 Testing, Analysis and Performance Validation.- Chapter 6 Conclusion and Recommendations for Future Work.- Publications Related to This Thesis.- Reference.- APPENDIX 1. Field Test Risk Assessment.