Data Analytics and Machine Learning for Integrated Corridor Management
By: and and and and and and and and and
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- Synopsis
- In an era defined by rapid urbanization and ever-increasing mobility demands, effective transportation management is paramount. This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the movement of people and goods in urban landscapes.From the fundamental principles of traffic signal dynamics to the cutting-edge applications of machine learning, each chapter of this comprehensive guide unveils essential aspects of modern transportation management systems. Chapter by chapter, readers are immersed in the complexities of traffic signal coordination, corridor management, data-driven decision-making, and the integration of advanced technologies. Closing with chapters on modeling measures of effectiveness and computational signal timing optimization, the guide equips readers with the knowledge and tools needed to navigate the complexities of modern transportation management systems.With insights into traffic data visualization and operational performance measures, this book empowers traffic engineers and administrators to design 21st-century signal policies that optimize mobility, enhance safety, and shape the future of urban transportation.
- Copyright:
- 2025
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781040129753
- Related ISBNs:
- 9781003460305, 9781032574646, 9781040129661
- Publisher:
- CRC Press
- Date of Addition:
- 10/25/24
- Copyrighted By:
- Yashaswi Karnati, Dhruv Mahajan, Tania Banerjee, Rahul Sengupta, Clay Packard, Ryan Casburn, Nithin Agarwal, Jeremy Dilmore, Anand Rangarajan, and Sanjay Ranka
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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