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
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
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.
KW - 3D city model
KW - Comfort-oriented navigation
KW - Pedestrian navigation
KW - Shadow simulation
UR - http://www.scopus.com/inward/record.url?scp=85215112333&partnerID=8YFLogxK
U2 - 10.1145/3678717.3691287
DO - 10.1145/3678717.3691287
M3 - Conference contribution
AN - SCOPUS:85215112333
T3 - 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024
SP - 677
EP - 680
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 -
