Big Data and The Future of Driving

Big Data and The Future of Driving
Link: https://insidebigdata.com/2020/04/24/big-data-and-the-future-of-driving/

Before, the human mind has been singularly responsible for making decisions about automobile design, manufacturing and safety regulations. The influx of big data, however, combined with the improved processing capacities and steady availability of AI advances, has changed the rule. These technological advancements have outperformed the abilities of the human psyche and changed the universe of driving. From city design to manufacturing, here, we will explore how big data is used to make important driving-related choices:

1. Automobile Innovation and Advancement

Automobile design and manufacturing has always been a fast-moving business, with major manufacturers eagerly racing to raise the bar in efficiency, safety, and environmental-friendliness. The advancements in computing capabilities and big data availability, however, seem to have further quickened the rate at which this innovation is occurring, as well as broadening the horizons on the type of innovation.

Big data has also furthered existing research, elevating it to new heights. For instance, automobile manufacturers have been working on the development of self-driving cars for a while. Big data has allowed manufacturers to take much larger strides towards the reality of self-driving cars by providing them with the data needed for deep learning technology to do its work.

 2. Establishing New Routes for Road Safety and Convenience

 Good city planning that promotes road safety is essential to the quality of life available to the urban population.Big data is able to help city planners improve public transportation and infrastructure through predictive data analytics, in a way that is beneficial to all citizens. Beyond predictive analytics, prescriptive analytics is also an option to help with infrastructure planning.

 The input data needed to make these crucial decisions can be collected through municipal systems, such as traffic cameras.City planners can use this data to determine the need for public transportation and improve problematic routes.

 This information is not only able to assist city planners but is also able to help drivers stay safer on the roads. This is made possible through crash maps and predictive analysis. Through big data, the traffic department can identify problematic areas and put safety measures in place.Transportation businesses are also able to harness this data to monitor driver safety by collecting data on speeding, seat-belt usage, braking and acceleration habits.

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