Rapid Transit Systems: Smarter Urban Planning Using Big Data, In-Memory Computing, Deep Learning, and GPUs

Rapid Transit Systems: Smarter Urban Planning Using Big Data, In-Memory Computing, Deep Learning, and GPUs

Rapid transit systems or metros are a popular choice for high-capacity public transport in urban areas due to several advantages including safety, dependability, speed, cost, and lower risk of accidents. Existing studies on metros have not considered appropriate holistic urban transport models and i...

Full description

Bibliographic Details
Main Authors: Muhammad Aqib, Rashid Mehmood, Ahmed Alzahrani, Iyad Katib, Aiiad Albeshri, Saleh M. Altowaijri
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sustainability
Subjects:
rapid transit systems
metro
London underground
tube
big data
deep learning
TensorFlow
Convolution Neural Networks (CNNs)
in-memory computing
Graphics Processing Units (GPUs)
transport planning
transport prediction
smart cities
smart transportation
Online Access:https://www.mdpi.com/2071-1050/11/10/2736

Internet

https://www.mdpi.com/2071-1050/11/10/2736

Similar Items