Traffic Information and Control /

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...

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Bibliographic Details
Other Authors:	Ruimin Li (ed.), Zhengbing He (ed.)
Format:	eBook
Language:	English
Published:	Stevenage : IET, 2020.
Series:	Transport.
Subjects:	Analysis. Data processing. Intelligent transportation systems. Machine learning. Traffic engineering > Data processing. Big Data. data analysis. intelligent transportation systems. learning (artificial intelligence). traffic engineering computing. short-distance intersection coordination control traffic coordination control lane change-free future road transportation systems real-time demand-based traffic diversion strategy traffic management deep-learning-based traffic flow predictions online web data-based traffic analytics systems advanced big data-based applications detection data traffic signal control microscopic level mesoscopic level macroscopic level traffic flow state prediction Electronic books.
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