Parking Availability Prediction in Smart City


Authors / Editors


Research Areas

No matching items found.


Publication Details

Output type: Conference proceeding

UM6P affiliated Publication?: Yes

Author list: Abdellaoui Alaoui E.A., Koumetio Tekouabou S.C.

Publication year: 2021

Journal: Lecture Notes in Networks and Systems (2367-3370)

ISSN: 2367-3370

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102614334&doi=10.1007%2f978-3-030-66840-2_34&partnerID=40&md5=e46689f80ba268ee6047bb2ed95259bc

Languages: English (EN-GB)


View on publisher site


Abstract

Smart cities are part of continuous advances in technology to provide a better quality of life for its inhabitants. Important topics in smart cities include urban mobility. Due to the increasing number of vehicles passing through cities, traffic and traffic are becoming common problems. In addition, finding places to park in the city center is not a simple task for drivers. In fact, drivers looking for parking spaces contribute up to 30% traffic congestion. In this context, this paper proposes a model for predicting the availability of parking spaces in car parks using different data sources, regression techniques and machine learning. The objective is to propose a model capable of making an enlightened estimate of the number of free parking places. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.


Keywords

No matching items found.


Documents

No matching items found.


Last updated on 2021-04-12 at 23:16