Which one of the following is NOT a typical Smart City application?

City-wide municipal Wi-Fi, pollution monitoring, and demand-based road tolling are all considered typical, foundational smart city applications. These initiatives directly involve the deployment of municipal infrastructure, sensors, and networks to improve public services, manage city resources, and enhance citizen welfare. While self-driving (autonomous) vehicles are a key technology within the smart mobility domain of a smart city, a "self-driving ride-sharing" service is a commercial application that operates within the smart city ecosystem. It is a service that leverages smart city infrastructure, rather than being a core municipal application itself, making it the least typical example among the choices.

A. City-wide municipal Wi-Fi: This is a common smart city initiative providing the foundational connectivity required for citizens, IoT devices, and other smart services.

B. Pollution monitoring: Using IoT sensors to monitor air and water quality is a core smart city application for environmental management and public health.

C. Demand-based road tolling: This is a classic smart transportation system (ITS) application used by municipalities to manage traffic flow and congestion dynamically.

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1. University Courseware: Massachusetts Institute of Technology (MIT). (n.d.). Senseable City Lab Projects. MIT. Retrieved from https://senseable.mit.edu/projects/.

Reference Details: The MIT Senseable City Lab's portfolio showcases numerous projects that exemplify core smart city applications. Projects like "City Scanner" and "Airborne" directly align with pollution monitoring (B). Projects analyzing traffic flow and mobility patterns provide the basis for systems like demand-based tolling (C). The provision of connectivity is an underlying theme for enabling these sensor networks, aligning with municipal Wi-Fi (A). Commercial ride-sharing services are not presented as foundational lab projects.

2. Peer-Reviewed Academic Publication: Meijer, A., & Bolívar, M. P. R. (2016). Governing the smart city: a review of the literature on smart urban governance. International Review of Administrative Sciences, 82(2), 392-408.

DOI: https://doi.org/10.1177/0020852314564308

Reference Details: On page 394, the paper discusses the technological dimension of smart cities, highlighting applications such as intelligent transport systems (covering demand-based tolling), environmental monitoring, and the importance of a robust ICT infrastructure (which includes public Wi-Fi). These are presented as core components, while autonomous vehicle services are discussed as future possibilities enabled by this infrastructure.

3. Official Vendor/Organizational Documentation: IEEE Standards Association. (n.d.). IEEE Smart Cities. IEEE. Retrieved from https://smartcities.ieee.org/

Reference Details: The IEEE Smart Cities initiative outlines key application domains. The "Technology" and "Mobility" sections frequently cite examples like intelligent transportation systems (ITS), environmental sensors, and ubiquitous connectivity as fundamental building blocks. These directly correspond to options A, B, and C. Self-driving ride-sharing is an advanced service that builds upon these foundational elements, not a typical starting point or core municipal application itself.