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Based on Hidden Markov Model to Identify the Driver Lane-Changing Behavior of Automobile OBD Internet of Vehicles Research and Design

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Advances in Computer and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 554))

Abstract

In this paper, we mainly study and design a kind of OBD vehicle network which can help the driver to change the behavior of the driver, so as to reduce the traffic accident caused by incorrect operation of the driver’s lane-changing behavior. First, get the hidden Markov model to identify driver’s lane-changing behavior was studied by MATLAB simulation. Second, the model is applied to the software and hardware design of OBD vehicle networking. Finally through the use of the OBD port will be from the CAN bus acquisition to the driver lane-changing behavior data and transfer to the Hidden Markov Model to deal with and determine the driver lane-changing the threshold of steering wheel angular velocity and steering wheel steering angle.

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References

  1. Diewald S, Möller A, Roalter Lss, et al. DriveAssist-A V2X-Based Driver Assistance System for Android[C]//Mensch & Computer Workshopband. 2012: 373–380.

    Google Scholar 

  2. Diewald S, Möller A, Roalter L, et al. DriveAssist-A V2X-Based Driver Assistance System for Android[C]//Mensch & Computer Workshopband. 2012: 373–380.

    Google Scholar 

  3. Walter O, Schmalenstroeer J, Engler A, et al. Smartphone-based sensor fusion for improved vehicular navigation[C]//Positioning Navigation and Communication (WPNC), 2013 10th Workshop on. IEEE, 2013: 1–6.

    Google Scholar 

  4. Choi S J, Kim J H, Kwak D G, et al. Analysis and classification of driver behavior using in-vehicle can-bus information[C]. Biennial Workshop on DSP for In-Vehicle and Mobile Systems. 2007: 17–19.

    Google Scholar 

  5. Habenicht S, Winner H, Bone S, et al. A maneuver-based lane change assistance system[C]. Intelligent Vehicles Symposium (IV), 2011 IEEE. IEEE, 2011: 375–380.

    Google Scholar 

  6. Kuge N, Yamamura T, Shimoyama O, et al. A driver behavior recognition method based on a driver model framework[R]. SAE Technical Paper, 2000.

    Google Scholar 

  7. Meng X, Lee K K, Xu Y. Human driving behavior recognition based on hidden markov models[C].Robotics and Biomimetics, 2006. ROBIO’06. IEEE International Conference on. IEEE, 2006: 274–279.

    Google Scholar 

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Acknowledgements

This work was supported by Natural Science Foundation of Shanghai under Grant No. 15ZR1429300

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Authors and Affiliations

  1. Department of Control Science and Engineering, Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, China

    Yu Tu, Fengdeng Zhang & Zhijian Wang

Authors
  1. Yu Tu
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  2. Fengdeng Zhang
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  3. Zhijian Wang
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Corresponding author

Correspondence to Yu Tu .

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Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Missouri, St. Louis, Missouri, USA

    Sanjiv K. Bhatia

  2. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  3. CSED, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  4. Department of Computer Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India

    Vivek Kumar Singh

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Tu, Y., Zhang, F., Wang, Z. (2018). Based on Hidden Markov Model to Identify the Driver Lane-Changing Behavior of Automobile OBD Internet of Vehicles Research and Design. In: Bhatia, S., Mishra, K., Tiwari, S., Singh, V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 554. Springer, Singapore. https://doi.org/10.1007/978-981-10-3773-3_25

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  • DOI: https://doi.org/10.1007/978-981-10-3773-3_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3772-6

  • Online ISBN: 978-981-10-3773-3

  • eBook Packages: EngineeringEngineering (R0)

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