Transportation Network Data

Transportation Network Data is a spatial dataset representing the geometric and topological characteristics of transportation infrastructure, distinguished by its explicit encoding of connectivity, directionality, and attributes of linear elements such as roads, railways, and pathways that facilitate movement within a geographic space.

330

Publications

16.1K

Citations

1.1K

Authors

422

Institutions

Publications per year

2017–2026

159

Variants

Transportation Network Datasets

Authors

1.1K

  1. RS
    Ryosuke Shibasaki

    The University of Tokyo, Japan

    5 publications · 411 citations

    5

    h-index

  2. XS
    Xuan Song

    The University of Tokyo, Japan

    5 publications · 411 citations

    5

    h-index

  3. CS
    Cyrus Shahabi

    University of Southern California, United States

    4 publications · 84 citations

    4

    h-index

  4. CS
    Christian S. Jensen

    Aalborg University, Denmark

    4 publications · 279 citations

    4

    h-index

  5. YW
    Yinhai Wang

    University of Washington, United States

    3 publications · 594 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. 17

    h-index

  2. 13

    h-index

  3. 11

    h-index

  4. Transportation research procedia

    TRPRO · 9 publications · 237 citations

    9

    h-index

  5. 8

    h-index

1–5