Deep Wide Spatial-Temporal Based Transformer Networks Modeling for the Next Destination According to the Taxi Driver Behavior Prediction

Deep Wide Spatial-Temporal Based Transformer Networks Modeling for the Next Destination According to the Taxi Driver Behavior Prediction

This paper uses a neural network approach transformer of taxi driver behavior to predict the next destination with geographical factors. The problem of predicting the next destination is a well-studied application of human mobility, for reducing traffic congestion and optimizing the electronic dispa...

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Bibliographic Details
Main Authors: Zain Ul Abideen, Heli Sun, Zhou Yang, Rana Zeeshan Ahmad, Adnan Iftekhar, Amir Ali
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
intelligent transport system
geographical factors
location base social networks
Online Access:https://www.mdpi.com/2076-3417/11/1/17

Internet

https://www.mdpi.com/2076-3417/11/1/17

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