H12-111_V2-5 practice question 9 of 25

What are the common data reporting scenarios in the Internet of Vehicles application ()? (Multiple choice)

Full set: 176 questions
Answer options
A: Location information reporting Correct answer
B: Bus data reporting Correct answer
C: Statistical data reporting Correct answer
D: Event data reporting Correct answer
Correct Answer:
A. Location information reporting; B. Bus data reporting; C. Statistical data reporting; D. Event data reporting
Explanation

The Internet of Vehicles (IoV) platform collects a wide variety of data to support its applications. All the listed options are common and essential data reporting scenarios. Location information (A) is fundamental for tracking and navigation. Vehicle bus data (B), such as speed, RPM, and fuel level from the CAN bus, is crucial for remote diagnostics and monitoring. Statistical data (C), like average fuel consumption or mileage, is used for fleet analytics. Event data (D), such as harsh braking, acceleration, or collision alerts, is vital for safety applications and driver behavior analysis.

Why Incorrect

There are no incorrect options. All listed scenarios are standard data reporting types in comprehensive Internet of Vehicles solutions.

References

1. Huawei. (2020). OceanConnect IoV Connection Platform V100R020C00 Product Documentation. Section: "Service Model". The documentation describes the platform's data model, which includes vehicle location, vehicle signals (bus data), trip statistics, and alarms (events).

2. Lu, R., Lin, X., Luan, T. H., & Shen, X. (2014). "Pseudonym-Based and Privacy-Preserving Data Forwarding in vanet." In Vehicular Communications. This academic paper discusses the types of data communicated in VANETs (a component of IoV), including location, events, and vehicle status information. (Available via IEEE Xplore, relevant to the general domain).

3. Huawei. Huawei Connected Vehicle Solution White Paper. This document outlines the architecture and data flow, detailing the collection of real-time vehicle status, location, driving behavior (events), and statistical information for cloud-based analysis.

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