TY - GEN
T1 - ICFinder
T2 - 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021
AU - Zhu, Zheng
AU - Ren, Huimin
AU - Ruan, Sijie
AU - Han, Boyang
AU - Bao, Jie
AU - Li, Ruiyuan
AU - Li, Yanhua
AU - Zheng, Yu
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/11/2
Y1 - 2021/11/2
N2 - Chemical materials are useful but sometimes hazardous, which requires strict regulation from the government. However, due to the potential economic benefits, many illegal hazardous chemical facilities are running underground, which poses a significant public safety threat. However, the traditional solutions, e.g., on-field screening and the anonymous tip-offs, involve a lot of human efforts. In this paper, we propose a ubiquitous approach called ICFinder to detecting illegal chemical facilities with chemical transportation trajectories. We first generate candidate locations by clustering stay points extracted from trajectories, and filter out known locations. Then, we rank those locations in suspicion order by modeling whether it has the loading/unloading events. ICFinder is evaluated over the real-world dataset from Nantong in China, and the deployed system identified 20 illegal chemical facilities in 3 months.
AB - Chemical materials are useful but sometimes hazardous, which requires strict regulation from the government. However, due to the potential economic benefits, many illegal hazardous chemical facilities are running underground, which poses a significant public safety threat. However, the traditional solutions, e.g., on-field screening and the anonymous tip-offs, involve a lot of human efforts. In this paper, we propose a ubiquitous approach called ICFinder to detecting illegal chemical facilities with chemical transportation trajectories. We first generate candidate locations by clustering stay points extracted from trajectories, and filter out known locations. Then, we rank those locations in suspicion order by modeling whether it has the loading/unloading events. ICFinder is evaluated over the real-world dataset from Nantong in China, and the deployed system identified 20 illegal chemical facilities in 3 months.
KW - hazardous chemicals transportation
KW - trajectory data mining
UR - http://www.scopus.com/inward/record.url?scp=85119177186&partnerID=8YFLogxK
U2 - 10.1145/3474717.3483633
DO - 10.1145/3474717.3483633
M3 - Conference contribution
AN - SCOPUS:85119177186
T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
SP - 37
EP - 40
BT - 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021
A2 - Meng, Xiaofeng
A2 - Wang, Fusheng
A2 - Lu, Chang-Tien
A2 - Huang, Yan
A2 - Shekhar, Shashi
A2 - Xie, Xing
PB - Association for Computing Machinery
Y2 - 2 November 2021 through 5 November 2021
ER -
