CHAPTER 11
Chapter 11
Smart Cities and Connected Vehicles
Around traffic, urban governance, and vehicular networks: massive device access, V2X communication, capacity governance, and AI-driven prediction and optimization.
Where this chapter sits: smart cities and connected vehicles are the second stop in the book's progression of industry scenarios (after industrial IoT in Chapter 10). Where the industrial scenario pursues deterministic closed loops, the urban scenario's constraints shift along three dimensions: concurrent access from millions of devices, large-scale downlink fan-out of control commands (intersection broadcasts, city-wide signal control), and collaborative governance across departments and multiple stakeholders. This chapter does not start from scratch: access-protocol selection directly reuses the conclusions of Chapter 9 (the selection framework of Section 9.1 and the MQTT mechanism walkthrough of Section 9.2), the data pipeline reuses Chapter 5's "message queue — stream processing" link (Section 5.2) and the layered principle of edge-cloud collaboration (Section 5.3 — the section that already foreshadowed this chapter's Section 11.3 carrying the layered framework into city-scale capacity governance), and the security design takes the PKI, TLS, and audit mechanisms of Chapter 8 as its baseline, adapting incrementally only for city-scale parameters and multi-party permissions. It is best to revisit the corresponding sections of those three chapters before entering this chapter's capacity model, scenario cases, and engineering checklist, and to read the urban differences as a "recalibration of the same platform foundation under different constraints."