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This document provides a reference architecture for creating connected mobility data products using Amazon Web Services, detailing how to ingest, process, and manage vehicle and factory data.
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How to fill out connected mobility data lake

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How to fill out connected mobility data lake

01
Identify the data sources relevant to connected mobility (e.g., vehicles, infrastructure, sensors).
02
Gather raw data from these sources in real-time.
03
Preprocess the data to ensure quality and consistency.
04
Organize the data into logical structures for easy access and analysis.
05
Upload the organized data into the connected mobility data lake.
06
Implement data security measures and access controls.
07
Continuously monitor and maintain the data lake for performance and integrity.

Who needs connected mobility data lake?

01
Urban planners and local governments looking to improve traffic management.
02
Automotive manufacturers interested in enhancing connected vehicle features.
03
Transportation services and mobility as a service (MaaS) providers.
04
Researchers studying mobility trends and patterns.
05
Insurance companies assessing risk in connected mobility.
06
Data analysts and engineers who require a central repository for mobility data.
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A connected mobility data lake is a centralized repository that allows the storage and analysis of large volumes of connected vehicle data, enabling insights into vehicle performance, user behavior, and mobility trends.
Automobile manufacturers, mobility service providers, and any organization that collects, processes, or utilizes connected vehicle data may be required to file connected mobility data lake reports.
To fill out a connected mobility data lake, organizations need to gather relevant connected vehicle data, format it according to specified guidelines, and submit it through the designated reporting platform or interface.
The purpose of a connected mobility data lake is to facilitate the integration and analysis of data from various mobility sources, improving decision-making, enhancing user experiences, and promoting the development of smart transportation solutions.
Information that must be reported includes vehicle data (such as location, speed, and usage patterns), user data (like demographic information), and any relevant operational metrics that can inform the understanding of mobility trends and vehicle performance.
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