| Title | A Smart City Simulation Platform with Uncertainty |
|---|---|
| ID_Doc | 45232 |
| Authors | Dong, SY; Ma, MY; Feng, L |
| Title | A Smart City Simulation Platform with Uncertainty |
| Year | 2021 |
| Published | |
| Abstract | Smart city simulators are useful tools for simulating various scenarios with the impact of human/non-human factors, and evaluating efficiency and influence of services. Although current simulation platforms have made achievements in aspects like energy consumption modeling and urban planning, there are still gaps in integrating various domains together and involving the randomness of reality at the same time. Thus, we propose an open-source smart city simulator to provide more comprehensive features to satisfy diverse demands in scenario construction, information exchange, and urban services with more similarity to the real world, which can suit the needs of both city designers in plan evaluation and researchers in multi-domain data generation for data-driven models. Functions of the proposed simulator including three main components: (1) basic structure layers for constructing networks with map data, (2) event layers for receiving and exchanging information of (emergency) events, and (3) service layers for providing urban services in transportation, emission, and energy domains and responding to events. To better simulate unexpected circumstances in the real world, the randomness of reality is embodied in the uncertainty of sensing, devices, and events. Finally, two cases are designed in the demo to present functions of different layers and data generation with uncertainty. |
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