2017 Proceeding- Conference Chairs:
- Abhishek Dubey,
- Aniruddha Gokhale,
- Monika Sturm,
- Sokwoo Rhee
Cyber-physical systems, especially those related to large societal infrastructures have been mostly self-contained as seen from the perspective of computation resources. The next evolution in the design of these systems came with cloud computing, when many of the analytics functions were deployed in the cloud. Recently, these systems are seeing the next revolution with developments like Internet of Things and Fog Computing. While the former provides a more interconnected system of infrastructural elements, providing a technology-driven architecture for integration of city infrastructure and resources, the latter provides mechanisms to optimize their use and provide an efficient, informed, and equitable distribution of services. Together they enable the realization of smart and connected communities. While this vision of connected communities is already seeing a lot of interest and commercial activities there are still some fundamental challenges that need to be addressed.
For example, we need to solve the challenge of interoperability if we want to efficiently integrate services across domains, including water management, energy, disaster resilience, transportation, and healthcare. A key part of this challenge is the syntactically and semantically correct composition of services. Another challenge is to understand the interactions between privacy, security, resilience, reliability, and safety from both theoretical and operational perspectives as these systems are deployed in our communities. Finally, we must revisit the social aspects of the smart and connected community applications and ensure that we understand the social attitudes needed to make the necessary impact beyond just technological advances. This last point requires us to strongly focus on the co-design of application and the platforms required to deploy those applications in this workshop. The second installment of the workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) focuses on these challenges.
Proceeding Downloads
Optimal detection of faulty traffic sensors used in route planning
In a smart city, real-time traffic sensors may be deployed for various applications, such as route planning. Unfortunately, sensors are prone to failures, which result in erroneous traffic data. Erroneous data can adversely affect applications such as ...
A colonel blotto game for interdependence-aware cyber-physical systems security in smart cities
Smart cities must integrate a number of interdependent cyber-physical systems that operate in a coordinated manner to improve the well-being of the city's residents. A cyber-physical system (CPS) is a system of computational elements controlling ...
Emerging flood model validation frameworks for street-level inundation modeling with StormSense
Technological progress in flood monitoring and the proliferation of cost-efficient IoT-enabled water level sensors are enabling new streams of information for today's smart cities. StormSense is an inundation forecasting research initiative and an ...
Indicator frameworks
We develop a diagrammatic tool for constructing correlations between random variables, called an abstract indicator framework. Abstract indicator frameworks are modeled off operational (key performance) indicator frameworks as they are used in city ...
Array of things: a scientific research instrument in the public way: platform design and early lessons learned
The "Array of Things" (AoT) project aims to create an urban- scale instrument for research and development across many disciplines. The concept is to exploit Internet of Things (IoT) technologies to build an instrument analogous to an array telescope, ...
A fog architecture for decentralized decision making in smart buildings
The integration of humans into smart buildings raises challenges between meeting individual preferences and the generic rules set to optimize energy effectiveness of interest to organizations. Merging the individual preferences of multiple occupants ...
Towards a platform for community-centric smart connected services
All cities can be seen as a collection of commons. Commons are spaces, services and resources shared by the citizenry. Any change in the state of any one of the commons could lead to a potential action or a cascade of actions. In this paper we ...
Smooth: improved short-distance mobility for a smarter city
OSU SMOOTH (Smart Mobile Operation: OSU Transportation Hub) is an autonomous vehicle test bed that aims at providing intelligent transportation systems research for the first and last mile of an individualfis commute. It augments current public ...
Urban informatics for social good: definitions, tensions, and challenges
The vast amount of data generated from diverse sources provides both an opportunity and a challenge to urban policymakers and decision-makers. The application of data science and analytics to parse the detailed data that city agencies continually ...
SmartShuttle: a unified, scalable and replicable approach to connected and automated driving in a smart city
This paper is on low speed connected and automated driving shuttles in a smart city. Based on examples available in the literature and the past experience of the authors, this paper proposes the use of a unified computing, sensing, communication and ...
Towards a foundation for a collaborative replicable smart cities IoT architecture
The pervasive instrumentation of the physical world with sensors and actuators provides an unprecedented level of information granularity that is useful in decision-making processes. As municipalities and the public sector at large begin to leverage the ...
Agent-based microscopic pedestrian interaction with intelligent vehicles in shared space
Looking out for pedestrians has long been one of the most important issues for intelligent vehicles. Sometimes, intelligent vehicles have to cope with a large crowd of pedestrians. This is extremely common in shared spaces such as campus, shopping mall, ...