Logic-Driven Traffic Big Data Analytics : Methodology and Applications for Planning

by Shaopeng Zhong, Daniel (Jian) Sun

Logic driven traffic big data analytics: An introduction -- Statistical models and methods -- Spatial-temporal distribution model for travel origin-destination based on multi-source data -- Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data -- A ride-sourcing group prediction model based on convolutional neural network.

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Year of publication:	2022
Authors:	Zhong, Shaopeng ; Sun, Daniel (Jian)
Publisher:	2022.: Singapore : Springer Singapore 2022.: Singapore : Imprint: Springer
Subject:	Transportation Planning \| Urban Planning \| Traffic Big Data \| Built Environment and Travel Behavior \| Machine Learning \| Statistical Analysis \| Travel Demand and Pattern Analysis \| Traffic Safety \| Multi-source Big Data \| Policy Optimization \| Big Data \| Big data \| Künstliche Intelligenz \| Artificial intelligence \| Stadtentwicklung \| Urban development \| Data Mining \| Data mining \| Verkehrssicherheit \| Traffic safety \| Stadtverkehr \| Urban transport \| Verkehrsplanung \| Transport planning \| Straßenverkehr \| Road transport \| Verkehrsaufkommen \| Traffic volume

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Extent:	1 Online-Ressource (XXII, 280 p. 96 illus., 82 illus. in color.)
Series:	Springer eBook Collection
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-981-16-8016-8 ; 978-981-16-8015-1 ; 978-981-16-8017-5 ; 978-981-16-8018-2
Other identifiers:	10.1007/978-981-16-8016-8 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012814810