Traffic state prediction method and device based on mobile phone activity data and medium

Traffic state prediction method and device based on mobile phone activity data and medium

The invention discloses a traffic state prediction method and device based on mobile phone activity data and a medium, which are used for solving the problems that a lot of manpower and material resources are needed, the process is tedious and the accuracy of the obtained road information cannot be...

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Hauptverfasser: CHEN CUIJIAO, LI YUBAO, ZHANG ZHENYU, WANG WENHAO, QIAO XUEJUN, WANG XIAOTONG
Format: Patent
Sprache:chi ; eng
Schlagworte:
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
SIGNALLING
TRAFFIC CONTROL SYSTEMS
WIRELESS COMMUNICATIONS NETWORKS
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creator CHEN CUIJIAO
LI YUBAO
ZHANG ZHENYU
WANG WENHAO
QIAO XUEJUN
WANG XIAOTONG
description The invention discloses a traffic state prediction method and device based on mobile phone activity data and a medium, which are used for solving the problems that a lot of manpower and material resources are needed, the process is tedious and the accuracy of the obtained road information cannot be ensured when the road traffic information is obtained in the prior art. The method comprises the following steps: acquiring mobile phone mobile data generated by each road section in a road, and judging whether correlation exists between the mobile phone mobile data and the traffic volume of the corresponding road section or not; screening out the road section with correlation between the mobile phone mobile data and the traffic volume of the corresponding road section from the road sections, and taking the screened road section as the related road section; determining a correlation between the mobile phone mobile data and the traffic volume of the road according to the mobile phone mobile data and the traffic volu
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subjects ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
SIGNALLING
TRAFFIC CONTROL SYSTEMS
WIRELESS COMMUNICATIONS NETWORKS
title Traffic state prediction method and device based on mobile phone activity data and medium
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