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Human Factors in Modelling Mixed Traffic of Traditional, Connected, and Automated Vehicles

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Advances in Human Factors in Simulation and Modeling (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 591))

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Abstract

Connected and automated vehicle technologies are widely expected to revolutionize transport systems, enhancing the mobility and quality of life while reducing the environmental impact. However, in the foreseeable future, connected and automated vehicles will have to co-exist with traditional vehicles, indicating a great research need of modelling mixed traffic flow. In few attempts of modelling mixed traffic flow recently, human factors are largely ignored, despite their critical roles in understanding traffic flow dynamics and effective operation and control of this mixed traffic flow. To properly investigate the role of human factors in mixed traffic, we have designed a series of experiments using a high-fidelity driving simulator. Complementary information is collected using questionnaires. This study can assist in developing accurate, realistic, and robust microscopic traffic flow models.

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Acknowledgements

This research was partially funded by the Australian Research Council (ARC) through Dr. Zuduo Zheng’s Discovery Early Career Researcher Award (DECRA; DE160100449).

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Authors and Affiliations

  1. School of Civil Engineering and Built Environment, Science and Engineering Faculty, Queensland University of Technology, 2 George St, Brisbane, QLD, 4001, Australia

    Anshuman Sharma, Yasir Ali, Mohammad Saifuzzaman, Zuduo Zheng & Md. Mazharul Haque

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  1. Anshuman Sharma
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  2. Yasir Ali
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  3. Mohammad Saifuzzaman
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  4. Zuduo Zheng
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  5. Md. Mazharul Haque
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Correspondence to Zuduo Zheng .

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Editors and Affiliations

  1. RDRL-HRF-D, United States Army, Aberdeen Proving Ground, Maryland, USA

    Daniel N. Cassenti

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Sharma, A., Ali, Y., Saifuzzaman, M., Zheng, Z., Haque, M.M. (2018). Human Factors in Modelling Mixed Traffic of Traditional, Connected, and Automated Vehicles. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-60591-3_24

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  • DOI: https://doi.org/10.1007/978-3-319-60591-3_24

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