Framework for smart city applications based on participatory sensing

Abstract

Smart cities offer services to their inhabitants which make everyday life easier beyond providing a feedback channel to the city administration. For instance, a live timetable service for public transportation or real-time traffic jam notification can increase the efficiency of travel planning substantially. Traditionally, the implementation of these smart city services require the deployment of some costly sensing and tracking infrastructure. As an alternative, the crowd of inhabitants can be involved in data collection via their mobile devices. This emerging paradigm is called mobile crowd-sensing or participatory sensing. In this paper, we present our generic framework built upon XMPP (Extensible Messaging and Presence Protocol) for mobile participatory sensing based smart city applications. After giving a short description of this framework we show three use-case smart city application scenarios, namely a live transit feed service, a soccer intelligence agency service and a smart campus application, which are currently under development on top of our framework.

Advanced information services for cognitive behaviour of travellers

“…the application determines the best (optimum) route or mobility chain for the user. Crowd-sourcing techniques and cognition of the properties of the infrastructure have more and more importance in this regard [22]. This 'ideal' CogInfoCom application continuously re-examine and re-calculate the best route according to the current input data using entirely adaptive and self-learning methods during the calculation Distribution of information management processes between the component types is summarized in Fig 2. All three levels are/can be self-learning.…”

Supersensors: Raspberry Pi Devices for Smart Campus Infrastructure

“…Our solution maps onto the IoT category, in her review. Szabo et al [17] present the notion of a smart campus. However they use this term to refer to students that engage in participatory sensing to crowd-source information about lecture timetables and event information.…”

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

“…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. Ghose et al [11] utilizes the same principle for gathering information on road conditions.…”