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Improving Parking Availability Information Using Deep Learning Techniques
2020
Transportation Research Procedia
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
doi:10.1016/j.trpro.2020.03.113
fatcat:rjzwsbuihjahlg6ofsmwkb3tva