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Short Paper
Improving Pedestrians Traffic Priority via Grouping and Virtual Lanes in Shared Spaces (Short Paper)

Authors: Yao Li, Vinu Kamalasanan, Mariana Batista, and Monika Sester

Published in: LIPIcs, Volume 240, 15th International Conference on Spatial Information Theory (COSIT 2022)


Abstract
The shared space design is applied in urban streets to support barrier-free movement and integrate traffic participants (such as pedestrians, cyclists and vehicles) into a common road space. Regardless of the low-speed environment, sharing space with motor vehicles can make vulnerable road users feel uneasy. Yet, walking in groups increases their confidence as well as influence the yielding behavior of drivers. Therefore, we propose an innovative approach to support the crossing of pedestrians via grouping and project the virtual lanes in shared spaces. This paper presents the important components of the crowd steering system, discusses the enablers and gaps in the current approach, and illustrates the proposed idea with concept diagrams.

Cite as

Yao Li, Vinu Kamalasanan, Mariana Batista, and Monika Sester. Improving Pedestrians Traffic Priority via Grouping and Virtual Lanes in Shared Spaces (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 27:1-27:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


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@InProceedings{li_et_al:LIPIcs.COSIT.2022.27,
  author =	{Li, Yao and Kamalasanan, Vinu and Batista, Mariana and Sester, Monika},
  title =	{{Improving Pedestrians Traffic Priority via Grouping and Virtual Lanes in Shared Spaces}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{27:1--27:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-257-0},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{240},
  editor =	{Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.27},
  URN =		{urn:nbn:de:0030-drops-169125},
  doi =		{10.4230/LIPIcs.COSIT.2022.27},
  annote =	{Keywords: shared space, urban traffic system, augmented reality, pedestrian grouping}
}
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