Harnessing the crowds for smart city sensing

Roitman, Haggai; Mamou, Jonathan; Mehta, Sameep; Satt, Aharon; Subramaniam, L. Venkata

doi:10.1145/2390034.2390043

Cited by 54 publications

(26 citation statements)

References 5 publications

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“…Roitman et al [9] presents a smart city system where the crowd can send eye witness reports thereby creating deeper insights for city officials. Szabo et al [10] takes this approach one step further and employs the sensors built into smartphones for gathering data for city services such as live transit information.…”

Section: Related Workmentioning

confidence: 99%

Smart crowds in smart cities: real life, city scale deployments of a smartphone based participatory crowd management platform

Franke

Lukowicz

Blanke

2015

J Internet Serv Appl

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We describe a platform for smart, city-wide crowd management based on participatory mobile phone sensing and location/situation specific information delivery. The platform supports quick and flexible deployments of end-to-end applications for specific events or spaces that include four key functionalities: (1) Mobile phone based delivery of event/space specific information to the users, (2) participatory sensor data collection (from app users) and flexible analysis, (3) location and situation specific message multicast instructing people in different areas to act differently in case of an emergency and (4) post mortem event analysis. This paper describes the requirements that were derived through a series of test deployments, the system architecture, the implementation and the experiences made during real life, large scale deployments. Thus, until today it has been deployed at 14 events in three European countries (UK, Netherlands, Switzerland) and was used by well over 100,000 people.

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Section: Related Workmentioning

confidence: 99%

Smart crowds in smart cities: real life, city scale deployments of a smartphone based participatory crowd management platform

Franke

Lukowicz

Blanke

2015

J Internet Serv Appl

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“…Certain participatory sensing systems pushed the user intervention level to an extreme by requesting smartphone users to manually perform sensing tasks or even move to specific sensing locations [4,15,21,18] for small rewards, which are also referred to as crowdsourcing systems [22]. Chon et al [4] showed that a few smartphones can cover a wide sensing area.…”

Section: Related Workmentioning

confidence: 99%

“…Yan et al [21] leveraged human efforts for validating the image search results and studied the trade-off between accuracy and human validation time. Roitman et al [18] presented a crowdsensing system designed for smart cities. Their work focuses on processing noisy inputs by data fusion and provide the results to city officials.…”

Section: Related Workmentioning

confidence: 99%

Sais

Liao

Hou

Lin

et al. 2014

Proceedings of the 1st International Workshop on Emerging Multimedia Applications and Services for Smart Cities

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We consider the problem of efficiently using smartphone users to augment the stationary infrastructure sensors for better situation awareness in smart cities. We envision a dynamic sensing platform that intelligently assigns sensing tasks to volunteered smartphone users, in order to answer queries by performing sensing tasks at specific locations that may not be covered by in-situ infrastructure sensors. We mathematically formulate the problem into an integer programming problem to minimize the overall energy consumption while satisfying the required query accuracy. We present an optimal algorithm to solve this problem using an existing computationally expensive optimization solver. To reduce the running time, we also propose a more practical heuristic algorithm. Our trace-driven simulation results reveal the benefits of our proposed heuristic algorithm, it: (i) finishes all the tasks, (ii) achieves 6 times shorter response time, and (iii) performs better with more volunteers. In contrast, exclusively using in-situ sensors completes 6% of the tasks, while using in-situ sensors with opportunistic sensing (without user intervention) completes 20% of the tasks. Our prototype system is validated in a user study and receives fairly positive feedback from the smartphone users who utilize it to submit and answer various spatial/temporal dependent queries.

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“…In addition, there are currently projects piloted to allow the public to report emergencies using twitter and similar social networks instead of calling [93]. Thus, a second open issue has to do with the trustworthiness of information communicated by the public to the emergency services through social media.…”

Section: Social Mediamentioning

confidence: 99%

A Review of Cyber Threats and Defence Approaches in Emergency Management

2013

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Emergency planners, first responders and relief workers increasingly rely on computational and communication systems that support all aspects of emergency management, from mitigation and preparedness to response and recovery. Failure of these systems, whether accidental or because of malicious action, can have severe implications for emergency management. Accidental failures have been extensively documented in the past and significant effort has been put into the development and introduction of more resilient technologies. At the same time researchers have been raising concerns about the potential of cyber attacks to cause physical disasters or to maximise the impact of one by intentionally impeding the work of the emergency services. Here, we provide a review of current research on the cyber threats to communication, sensing, information management and vehicular technologies used in emergency management. We emphasise on open issues for research, which are the cyber threats that have the potential to affect emergency management severely and for which solutions have not yet been proposed in the literature.

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Harnessing the crowds for smart city sensing

Cited by 54 publications

References 5 publications

Smart crowds in smart cities: real life, city scale deployments of a smartphone based participatory crowd management platform

Smart crowds in smart cities: real life, city scale deployments of a smartphone based participatory crowd management platform

Sais

A Review of Cyber Threats and Defence Approaches in Emergency Management

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