A Survey on Transit Map Layout – from Design, Machine, and Human Perspectives

Hsiang-Yun Wu, Benjamin Niedermann, Shigeo Takahashi, Maxwell J. Roberts, Martin Nöllenburg
A Survey on Transit Map Layout – from Design, Machine, and Human Perspectives
Computer Graphics Forum, 39(3):619-646, May 2020. [image] [paper]

Information

Abstract

Transit maps are designed to present information for using public transportation systems, such as urban railways. Creating a transit map is a time-consuming process, which requires iterative information selection, layout design, and usability validation, and thus maps cannot easily be customised or updated frequently. To improve this, scientists investigate fully- or semi-automatic techniques in order to produce high quality transit maps using computers and further examine their corresponding usability. Nonetheless, the quality gap between manually-drawn maps and machine-generated maps is still large. To elaborate the current research status, this state-of-the-art report provides an overview of the transit map generation process, primarily from Design, Machine, and Human perspectives. A systematic categorisation is introduced to describe the design pipeline, and an extensive analysis of perspectives is conducted to support the proposed taxonomy. We conclude this survey with a discussion on the current research status, open challenges, and future directions.

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BibTeX

@article{wu-2020-eurovis-star,
  title =      "A Survey on Transit Map Layout – from Design, Machine, and
               Human Perspectives",
  author =     "Hsiang-Yun Wu and Benjamin  Niedermann and Shigeo Takahashi
               and Maxwell J. Roberts and Martin N\"{o}llenburg",
  year =       "2020",
  abstract =   "Transit maps are designed to present information for using
               public transportation systems, such as urban railways.
               Creating a transit map is a time-consuming process, which
               requires iterative information selection, layout design, and
               usability validation, and thus maps cannot easily be
               customised or updated frequently. To improve this,
               scientists investigate fully- or semi-automatic techniques
               in order to produce high quality transit maps using
               computers and further examine their corresponding usability.
               Nonetheless, the quality gap between manually-drawn maps and
               machine-generated maps is still large. To elaborate the
               current research status, this state-of-the-art report
               provides an overview of the transit map generation process,
               primarily from Design, Machine, and Human perspectives. A
               systematic categorisation is introduced to describe the
               design pipeline, and an extensive analysis of perspectives
               is conducted to support the proposed taxonomy. We conclude
               this survey with a discussion on the current research
               status, open challenges, and future directions.",
  month =      may,
  journal =    "Computer Graphics Forum",
  number =     "3",
  volume =     "39",
  pages =      "619--646",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/",
}