Book description
Hold on, because we’re entering the age of smart transportation at astonishing speed. By 2020, roughly one in every five vehicles (250 million) will be on the road. Within the next 10 years, the very idea of manually operating a car, truck, ship, plane, or train may seem old fashioned, as the overarching trend will be toward greater automation at every level of transportation. Are we ready for it?
In this report, Mike Barlow examines the autonomous vehicle ecosystem through interviews with several technology firms, including Cloudera, that are busy working on various aspects of connected transportation. Vehicles in motion—on land, in the air, or on the sea—will generate and transmit huge quantities of data to transportation infrastructure (roads, bridges, traffic signals), and other vehicles. The data from your car, in fact, may soon be more valuable than the car itself.
Get a copy of this report and learn how the vehicles of tomorrow (or maybe the day after tomorrow) will impact mobility management, safety, vehicle management, operator well-being, entertainment, and even the way cities are designed.
Product information
- Title: Data Science in Transportation
- Author(s):
- Release date: April 2017
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491981832
You might also like
book
Cleaning Data for Effective Data Science
Think about your data intelligently and ask the right questions Key Features Master data cleaning techniques …
book
Geospatial Data and Analysis
Geospatial data, or data with location information, is generated in huge volumes every day by billions …
book
Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance
Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on …
book
Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning
Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, …