Detecting Public Transit Service Disruptions Using Social Media Mining and Graph Convolution
In recent years we have seen an increase in the number of public transit service disruptions due to aging infrastructure, system failures and the regular need for maintenance. With the fleeting growth in the usage of these transit networks there has been an increase in the need for the timely detec...
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Virginia Tech
2021
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| Online Access: | http://hdl.handle.net/10919/103745 |