Smartphone based context-aware driver behavior classification using dynamic bayesian network

[1]  A. Sathyanarayana,et al.  Driver behavior analysis and route recognition by Hidden Markov Models , 2008, 2008 IEEE International Conference on Vehicular Electronics and Safety.

[2]  Hussein Zedan,et al.  Context-Aware Driver Behavior Detection System in Intelligent Transportation Systems , 2013, IEEE Transactions on Vehicular Technology.

[3]  Takashi Imamura,et al.  A study of classification for driver conditions using driving behaviors , 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

[4]  John H. L. Hansen,et al.  Lane-Change Detection From Steering Signal Using Spectral Segmentation and Learning-Based Classification , 2017, IEEE Transactions on Intelligent Vehicles.

[5]  Mansoureh Jeihani,et al.  The Effect of Travel Time Information, Reliability, and Level of Service on Driver Behavior Using a Driving Simulator , 2017, ANT/SEIT.

[6]  Wan-Young Chung,et al.  A Smartphone-Based Driver Safety Monitoring System Using Data Fusion , 2012, Sensors.

[7]  Thierry Derrmann,et al.  Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring , 2015, IEEE Intelligent Transportation Systems Magazine.

[8]  Xiang-Yang Li,et al.  Detecting Driver’s Smartphone Usage via Nonintrusively Sensing Driving Dynamics , 2017, IEEE Internet of Things Journal.

[9]  John D. Lee,et al.  A hybrid Bayesian Network approach to detect driver cognitive distraction , 2014 .

[10]  Yanming Feng,et al.  Context-aware multicast protocol for emergency messagedissemination in vehicular networks , 2012 .

[11]  Jonathan P. How,et al.  Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set , 2012, IEEE Transactions on Intelligent Transportation Systems.

[12]  Yilu Zhang,et al.  A Pattern-Recognition Approach for Driving Skill Characterization , 2010, IEEE Transactions on Intelligent Transportation Systems.

[13]  Vijay Gadepally,et al.  A Framework for Estimating Driver Decisions Near Intersections , 2014, IEEE Transactions on Intelligent Transportation Systems.

[14]  Gwen Littlewort,et al.  Drowsy Driver Detection Through Facial Movement Analysis , 2007, ICCV-HCI.

[15]  Jae-Il Jung,et al.  Context awareness beacon scheduling scheme for congestion control in vehicle to vehicle safety communication , 2013, Ad Hoc Networks.

[16]  Wan-Young Chung,et al.  Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals , 2012, IEEE Sensors Journal.

[17]  John D. Lee,et al.  Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines , 2007, IEEE Transactions on Intelligent Transportation Systems.

[18]  Dana Kulic,et al.  Feature abstraction for driver behaviour detection with stacked sparse auto-encoders , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[19]  Jianjun Shi,et al.  Driving Style Recognition Based on Driver Behavior Questionnaire , 2017 .

[20]  Wilfred W. Recker,et al.  MICROCOMPUTERS IN TRANSPORTATION. USING INTERACTIVE SIMULATION TO MODEL DRIVER BEHAVIOR UNDER ATIS , 1992 .

[21]  Kazuya Takeda,et al.  Driver Recognition System Using FNN and Statistical Methods , 2007 .

[22]  Wathiq Mansoor,et al.  A survey on context-aware vehicular network applications , 2016, Veh. Commun..

[23]  Prabir Bhattacharya,et al.  A driver fatigue recognition model based on information fusion and dynamic Bayesian network , 2010, Inf. Sci..

[24]  Imran A. Zualkernan,et al.  iBump: Smartphone application to detect car accidents , 2014, 2014 International Conference on Industrial Automation, Information and Communications Technology.

[25]  John D. Lee,et al.  Nonintrusive Detection of Driver Cognitive Distraction in Real Time Using Bayesian Networks , 2007 .

[26]  M. Amaç Güvensan,et al.  Driver Behavior Analysis for Safe Driving: A Survey , 2015, IEEE Transactions on Intelligent Transportation Systems.

[27]  Manju Mehta,et al.  Road rage: An exploratory study on aggressive driving experience on Indian roads , 2013, The International journal of social psychiatry.

[28]  Timo Lajunen,et al.  Driver sleepiness, fatigue, careless behavior and risk of motor vehicle crash and injury: Population based case and control study , 2017 .

[29]  Neelima Chakrabarty,et al.  Analysis of driver behaviour and crash characteristics during adverse weather conditions , 2013 .

[30]  Keiichi Uchimura,et al.  Driver Inattention Monitoring System for Intelligent Vehicles: A Review , 2009, IEEE Transactions on Intelligent Transportation Systems.

[31]  Long Dong,et al.  A New Model for Predicting Dynamic Surge Pressure in Gas and Drilling Mud Two-Phase Flow during Tripping Operations , 2014 .

[32]  Saif Jamal Al-Sultan.  Context aware drivers' behaviour detection system for VANET , 2013 .

[33]  Marie Crew,et al.  Teen Driving Behaviors in a Rural Southern State , 2014, Southern medical journal.

[34]  Jeremy D. Davey,et al.  Utilising the Driver Behaviour Questionnaire in an Australian Organisational Fleet Setting: Are Modifications Required? , 2006 .

[35]  M. Akamatsu,et al.  Indices for characterizing driving style and their relevance to car following behavior , 2007, SICE Annual Conference 2007.

[36]  Carlos Busso,et al.  Modeling of Driver Behavior in Real World Scenarios Using Multiple Noninvasive Sensors , 2013, IEEE Transactions on Multimedia.

[37]  Gurdit Singh,et al.  Smart patrolling: An efficient road surface monitoring using smartphone sensors and crowdsourcing , 2017, Pervasive Mob. Comput..

[38]  Jadwiga Indulska,et al.  A survey of context modelling and reasoning techniques , 2010, Pervasive Mob. Comput..

[39]  Ramachandran Ramjee,et al.  Nericell: rich monitoring of road and traffic conditions using mobile smartphones , 2008, SenSys '08.

[40]  A. af Wåhlberg,et al.  The Manchester Driver Behaviour Questionnaire as a predictor of road traffic accidents , 2011 .

[41]  Gladys Castillo,et al.  Using Bayesian networks to improve knowledge assessment , 2013, Comput. Educ..

[42]  Harry Chen,et al.  An ontology for context-aware pervasive computing environments , 2003, The Knowledge Engineering Review.

[43]  Mohan M. Trivedi,et al.  Computer Vision and Image Understanding xxx (2011) xxx–xxx Contents lists available at SciVerse ScienceDirect Computer Vision and Image Understanding , 2022 .

[44]  Toshihiro Hiraoka,et al.  Validation of HRV-based drowsy-driving detection method with EEG sleep stage classification , 2017 .

[45]  Luis M. Bergasa,et al.  Real-time system for monitoring driver vigilance , 2005, ISIE 2005.

[46]  Matthias Baldauf,et al.  A survey on context-aware systems , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[47]  Dejan Mitrovic,et al.  Reliable method for driving events recognition , 2005, IEEE Transactions on Intelligent Transportation Systems.

[48]  Marthinus J. Booysen,et al.  Survey of smartphone-based sensing in vehicles for intelligent transportation system applications , 2015 .