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Traffic Information and Control / Ruimin Li; Zhengbing He [Eds].
- Format:
- Book
- Series:
- Statistiske efterretninger. Transport
- Transport
- Language:
- English
- Subjects (All):
- Analysis.
- Information storage and retrieval systems.
- Intelligent transportation systems.
- Machine learning.
- Traffic engineering--Data processing.
- Traffic engineering.
- Physical Description:
- 1 online resource (328 pages).
- Place of Publication:
- Stevenage : IET, 2020.
- System Details:
- text file
- Summary:
- The aim of the book is to introduce and propose the typical and advanced methods to estimate and predict traffic flow state at different levels (macroscopic, mesoscopic and microscopic), and to optimize traffic signal control for intersections, arterials and areas based on various detection data, so as to provide reference for researchers and engineers. Potential applications of this book are: to introduce advanced big data-based applications, including online web data-based traffic analytics systems, deep-learning-based traffic flow predictions, et cetera; to propose novel traffic management and systems based on advanced information technologies, including real-time demand-based traffic diversion strategy, lane change-free future road transportation systems; to provide a review of the development of traffic coordination control and the emerging technologies to enhance the traffic coordination control; and to introduce the innovative short-distance intersection coordination control and evaluation of traffic control based on detailed detection data.
- ISBN:
- 9781839530265
- Access Restriction:
- Restricted for use by site license.
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