Loading...
Loading...

Go to the content (press return)

Improving parking availability information using deep learning techniques

Author
Arjona, J.; Linares, M. P.; Casanovas, J.; Vazquez, J.
Type of activity
Presentation of work at congresses
Name of edition
22nd EURO Working Group on Transportation
Date of publication
2019
Presentation's date
2019-09-19
Book of congress proceedings
22nd EURO Working Group on Transportation Meeting (EWGT): Barcelona, Spain: september 18-20, 2019: book of abstracts
First page
1
Last page
1
Abstract
Urban traffic currently affects the quality of life in cities and metropolitan areas as the problem becomes ever more aggravated by parking issues: congestion increases due to individuals looking for slots to park their vehicles. An Internet of Things approach allows drivers to know the state of the parking system in real time through wireless networks of sensor devices. This work focuses on studying the data generated by parking systems in order to develop predictive models that generate foreca...
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants