TY - GEN
T1 - Route Subnetwork Generation using OpenStreetMap Data for Emergency Response Problem Modeling in Indonesia
AU - Gultom, Yohanes
AU - Haryanto, Toto
AU - Suhartanto, Heru
N1 - Funding Information:
ACKNOWLEDGMENT This research was supported by the RESPOND-OR project1, which is led by Lancaster University, Centre for Transport and Logistics (CENTRAL), in partnership with Universitas Indonesia, Universitas Gadjah Mada, and the University of Khartoum. This project is also supported by an Advisory Committee of stakeholders from government and non-government organizations in Indonesia and Sudan to ensure the alignment of the scientific activities, project results, and deliverables to the stakeholders’ needs.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Route subnetwork generation is useful in modeling disaster emergency response operation problems such as evacuation, aid distribution, and personnel scheduling. Through this paper, we propose an end-to-end approach of generating a subnetwork based on a list of points of interest (villages, shelters, depots, etc) and publicly available data using a combination of opensource tools. Our final product is an opensource software published in a public code repository. We also present some experiments for three emergency response operations in Indonesia: the Yogyakarta earthquake (2020), Jakarta flood (2013), and Lombok earthquake (2018). Subnetwork generation with a muticore CPU was able to produce an average speedup of 1.67 times for the three disaster locations. For further research, the use of the Graphics Processing Unit (GPU) can be considered to accelerate the subnetwork generation process.
AB - Route subnetwork generation is useful in modeling disaster emergency response operation problems such as evacuation, aid distribution, and personnel scheduling. Through this paper, we propose an end-to-end approach of generating a subnetwork based on a list of points of interest (villages, shelters, depots, etc) and publicly available data using a combination of opensource tools. Our final product is an opensource software published in a public code repository. We also present some experiments for three emergency response operations in Indonesia: the Yogyakarta earthquake (2020), Jakarta flood (2013), and Lombok earthquake (2018). Subnetwork generation with a muticore CPU was able to produce an average speedup of 1.67 times for the three disaster locations. For further research, the use of the Graphics Processing Unit (GPU) can be considered to accelerate the subnetwork generation process.
KW - emergency response
KW - openstreetmap
KW - subnetwork
UR - http://www.scopus.com/inward/record.url?scp=85123832040&partnerID=8YFLogxK
U2 - 10.1109/ICACSIS53237.2021.9631340
DO - 10.1109/ICACSIS53237.2021.9631340
M3 - Conference contribution
AN - SCOPUS:85123832040
T3 - 2021 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021
BT - 2021 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021
Y2 - 23 October 2021 through 26 October 2021
ER -