Driver Behavior Modeling

Driver Behavior Modeling is a computational framework that characterizes and predicts individual or aggregate driving patterns within range estimation systems by integrating behavioral indicators such as acceleration habits, route preferences, and energy consumption tendencies to improve the accuracy of vehicle range predictions.

2.3K

Publications

108.5K

Citations

5.8K

Authors

1.4K

Institutions

Publications per year

2017–2026

1K

Authors

5.8K

  1. KT
    Kazuya Takeda

    Nagoya University, Japan

    23 publications · 1.2K citations

    18

    h-index

  2. SH
    Serge Hoogendoorn

    Delft University of Technology, Netherlands

    27 publications · 932 citations

    18

    h-index

  3. CM
    Chiyomi Miyajima

    Nagoya University, Japan

    22 publications · 1.1K citations

    17

    h-index

  4. HR
    Hesham Rakha

    Virginia Tech, United States

    20 publications · 767 citations

    16

    h-index

  5. HG
    Hongxia Ge

    Ningbo University, China

    14 publications · 518 citations

    14

    h-index

1–5 of 5.8K

Venues

  1. Accident Analysis & Prevention

    133 publications · 9.7K citations

    58

    h-index

  2. 54

    h-index

  3. 50

    h-index

  4. 43

    h-index

  5. 41

    h-index

1–5