It takes the average reader 5 hours and 9 minutes to read Data-Driven Solutions to Transportation Problems by Yinhai Wang
Assuming a reading speed of 250 words per minute. Learn more
Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more. Synthesizes the newest developments in data-driven transportation science Includes case studies and examples in each chapter that illustrate the application of methodologies and technologies employed Useful for both theoretical and technically-oriented researchers
Data-Driven Solutions to Transportation Problems by Yinhai Wang is 299 pages long, and a total of 77,441 words.
This makes it 101% the length of the average book. It also has 95% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 3 minutes to read Data-Driven Solutions to Transportation Problems aloud.
Data-Driven Solutions to Transportation Problems 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.
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