Walking in the Shade: Shadow-oriented Navigation for Pedestrians

Yu Feng; Puzhen Zhang; Jiaying Xue; Zhaiyu Chen; Liqiu Meng

doi:10.1145/3678717.3691287

Walking in the Shade: Shadow-oriented Navigation for Pedestrians

Yu Feng
, Puzhen Zhang
, Jiaying Xue
, Zhaiyu Chen
, Liqiu Meng

Chair of Cartography and Visual Analytics

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Excessive exposure to the sun and the resulting heat poses health risks to pedestrians in hot weather. To mitigate these risks, we propose a shadow-oriented navigation system that offers cooler and more convenient walking routes by simulating shadows. Our system integrates a manually corrected pedestrian network from OpenStreetMap with LoD2 3D city models, using a ray tracing module for real-time shadow simulation. It optimizes routes to be either cooler or shorter based on user preferences, with easy verification through 3D scene visualization. Our navigation system has been implemented in a study area in Munich, Germany, with further discussions on the technical feasibility and challenges of extending it to larger areas.

Original language	English
Title of host publication	32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024
Editors	Mario A. Nascimento, Li Xiong, Andreas Zufle, Yao-Yi Chiang, Ahmed Eldawy, Peer Kroger
Publisher	Association for Computing Machinery, Inc
Pages	677-680
Number of pages	4
ISBN (Electronic)	9798400711077
DOIs	https://doi.org/10.1145/3678717.3691287
State	Published - 22 Nov 2024
Event	32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024 - Atlanta, United States Duration: 29 Oct 2024 → 1 Nov 2024

Publication series

Name	32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024

Conference

Conference	32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024
Country/Territory	United States
City	Atlanta
Period	29/10/24 → 1/11/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

3D city model
Comfort-oriented navigation
Pedestrian navigation
Shadow simulation

Access to Document

10.1145/3678717.3691287

Cite this

Feng, Y., Zhang, P., Xue, J., Chen, Z., & Meng, L. (2024). Walking in the Shade: Shadow-oriented Navigation for Pedestrians. In M. A. Nascimento, L. Xiong, A. Zufle, Y.-Y. Chiang, A. Eldawy, & P. Kroger (Eds.), 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024 (pp. 677-680). (32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024). Association for Computing Machinery, Inc. https://doi.org/10.1145/3678717.3691287

Feng, Yu ; Zhang, Puzhen ; Xue, Jiaying et al. / Walking in the Shade : Shadow-oriented Navigation for Pedestrians. 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024. editor / Mario A. Nascimento ; Li Xiong ; Andreas Zufle ; Yao-Yi Chiang ; Ahmed Eldawy ; Peer Kroger. Association for Computing Machinery, Inc, 2024. pp. 677-680 (32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024).

@inproceedings{9f9555654d6a4bb4baa7897ba46a980a,

title = "Walking in the Shade: Shadow-oriented Navigation for Pedestrians",

abstract = "Excessive exposure to the sun and the resulting heat poses health risks to pedestrians in hot weather. To mitigate these risks, we propose a shadow-oriented navigation system that offers cooler and more convenient walking routes by simulating shadows. Our system integrates a manually corrected pedestrian network from OpenStreetMap with LoD2 3D city models, using a ray tracing module for real-time shadow simulation. It optimizes routes to be either cooler or shorter based on user preferences, with easy verification through 3D scene visualization. Our navigation system has been implemented in a study area in Munich, Germany, with further discussions on the technical feasibility and challenges of extending it to larger areas.",

keywords = "3D city model, Comfort-oriented navigation, Pedestrian navigation, Shadow simulation",

author = "Yu Feng and Puzhen Zhang and Jiaying Xue and Zhaiyu Chen and Liqiu Meng",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s).; 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024 ; Conference date: 29-10-2024 Through 01-11-2024",

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doi = "10.1145/3678717.3691287",

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editor = "Nascimento, \{Mario A.\} and Li Xiong and Andreas Zufle and Yao-Yi Chiang and Ahmed Eldawy and Peer Kroger",

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Feng, Y, Zhang, P, Xue, J, Chen, Z & Meng, L 2024, Walking in the Shade: Shadow-oriented Navigation for Pedestrians. in MA Nascimento, L Xiong, A Zufle, Y-Y Chiang, A Eldawy & P Kroger (eds), 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024. 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024, Association for Computing Machinery, Inc, pp. 677-680, 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024, Atlanta, United States, 29/10/24. https://doi.org/10.1145/3678717.3691287

Walking in the Shade: Shadow-oriented Navigation for Pedestrians. / Feng, Yu; Zhang, Puzhen; Xue, Jiaying et al.
32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024. ed. / Mario A. Nascimento; Li Xiong; Andreas Zufle; Yao-Yi Chiang; Ahmed Eldawy; Peer Kroger. Association for Computing Machinery, Inc, 2024. p. 677-680 (32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Walking in the Shade

T2 - 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024

AU - Feng, Yu

AU - Zhang, Puzhen

AU - Xue, Jiaying

AU - Chen, Zhaiyu

AU - Meng, Liqiu

PY - 2024/11/22

Y1 - 2024/11/22

N2 - Excessive exposure to the sun and the resulting heat poses health risks to pedestrians in hot weather. To mitigate these risks, we propose a shadow-oriented navigation system that offers cooler and more convenient walking routes by simulating shadows. Our system integrates a manually corrected pedestrian network from OpenStreetMap with LoD2 3D city models, using a ray tracing module for real-time shadow simulation. It optimizes routes to be either cooler or shorter based on user preferences, with easy verification through 3D scene visualization. Our navigation system has been implemented in a study area in Munich, Germany, with further discussions on the technical feasibility and challenges of extending it to larger areas.

AB - Excessive exposure to the sun and the resulting heat poses health risks to pedestrians in hot weather. To mitigate these risks, we propose a shadow-oriented navigation system that offers cooler and more convenient walking routes by simulating shadows. Our system integrates a manually corrected pedestrian network from OpenStreetMap with LoD2 3D city models, using a ray tracing module for real-time shadow simulation. It optimizes routes to be either cooler or shorter based on user preferences, with easy verification through 3D scene visualization. Our navigation system has been implemented in a study area in Munich, Germany, with further discussions on the technical feasibility and challenges of extending it to larger areas.

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KW - Pedestrian navigation

KW - Shadow simulation

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DO - 10.1145/3678717.3691287

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AN - SCOPUS:85215112333

T3 - 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024

SP - 677

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BT - 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024

A2 - Nascimento, Mario A.

A2 - Xiong, Li

A2 - Zufle, Andreas

A2 - Chiang, Yao-Yi

A2 - Eldawy, Ahmed

A2 - Kroger, Peer

PB - Association for Computing Machinery, Inc

Y2 - 29 October 2024 through 1 November 2024

ER -

Feng Y, Zhang P, Xue J, Chen Z, Meng L. Walking in the Shade: Shadow-oriented Navigation for Pedestrians. In Nascimento MA, Xiong L, Zufle A, Chiang YY, Eldawy A, Kroger P, editors, 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024. Association for Computing Machinery, Inc. 2024. p. 677-680. (32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024). doi: 10.1145/3678717.3691287

Walking in the Shade: Shadow-oriented Navigation for Pedestrians

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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