IMO: A Toolbox for Simulating and Querying “Infected” Moving Objects

jianqiu Xu, Hua Lu, Zhifeng Bao

Abstract:

Due to the widespread use of GPS-enabled devices such as
smartphones, the research eld of moving objects databases
has been quite active in the past decade. Human move-
ments are recorded, managed and analyzed for a plethora of
applications. In this demo, we introduce a toolbox named
IMO to simulate and query infected moving objects. This is
primarily motivated by COVID-19 virus pandemic recently.
We model the spreading behavior to demonstrate when and
where people are infected. The protection policy is simu-
lated such that one can see the isolation and self protection
effects such as human movement restriction and the wearing
of masks. Optimization techniques are developed to enhance
the performance, including data storage, data partition and
index structures. This is not a standalone software but a
toolbox embedded in SECONDO, an open source and ex-
tensible database system. To the best of our knowledge,
simulating and querying infected objects are not supported
in existing moving objects prototype systems. Demo atten-
dees can conveniently pose their queries and adjust parame-
ters in the interface and the system will visualize the result
after only a short delay.