How Long to Read Big Data Transportation Systems

By Guanghui Zhao

How Long Does it Take to Read Big Data Transportation Systems?

It takes the average reader 5 hours and 54 minutes to read Big Data Transportation Systems by Guanghui Zhao

Assuming a reading speed of 250 words per minute. Learn more

Description

This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed by a discussion on the blueprint strategies of big data transportation which include innovative models, planning, transportation logistics, and application case studies. Finally, the book discusses applications of big data transportation platforms.

How long is Big Data Transportation Systems?

Big Data Transportation Systems by Guanghui Zhao is 352 pages long, and a total of 88,704 words.

This makes it 119% the length of the average book. It also has 108% more words than the average book.

How Long Does it Take to Read Big Data Transportation Systems Aloud?

The average oral reading speed is 183 words per minute. This means it takes 8 hours and 4 minutes to read Big Data Transportation Systems aloud.

What Reading Level is Big Data Transportation Systems?

Big Data Transportation Systems is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Big Data Transportation Systems?

Big Data Transportation Systems by Guanghui Zhao is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Big Data Transportation Systems by Guanghui Zhao on Amazon click the button below.

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