Research on Traffic Situation Analysis for Urban Road Network Through Spatiotemporal Data Mining: A Case Study of Xi’an, China

Research on Traffic Situation Analysis for Urban Road Network Through Spatiotemporal Data Mining: A Case Study of Xi’an, China

Severe traffic congestion has promoted the development of the Intelligent Transportation System (ITS). Accurately analyzing and predicting the traffic states of the urban road networks has important theoretical significance and practical value for improving traffic efficiency and formulating ITS sch...

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Bibliographic Details
Main Authors: Ruiyu Zhou, Hong Chen, Hengrui Chen, Enze Liu, Shangjing Jiang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Urban traffic congestion
spatiotemporal pattern
short-term prediction
taxi trajectory
road traffic performance index
Online Access:https://ieeexplore.ieee.org/document/9437217/

Internet

https://ieeexplore.ieee.org/document/9437217/

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