Improving utilization and customer satisfaction of parking space with M2M communications

Fuchun Lin, Haoru Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The shortage of parking spaces creates a challenging problem for both drivers and parking space operators. In this research, we implement a parking simulation system to study operators' problems. The operator can use our method to evaluate different parking policies and find out the best policy. Furthermore, the operator can estimate the impact of smart parking system (SPS) on parking space management. An SPS not only tracks the number and locations of available parking spaces in a parking lot but also utilizes Machine-to-Machine communications (M2M) to provide drivers useful information. Based on the results, we are able to identify the best policy among all alternatives which achieves the highest satisfaction rate under the constraint of maintaining certain occupancy rate. Furthermore, our results show that the SPS can improve the satisfaction rate regardless scenarios under different assumptions.

Original languageEnglish
Title of host publicationIEEE World Forum on Internet of Things, WF-IoT 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages465-470
Number of pages6
ISBN (Electronic)9781509003655
DOIs
StatePublished - 1 Jan 2015
Event2nd IEEE World Forum on Internet of Things, WF-IoT 2015 - Milan, Italy
Duration: 14 Dec 201516 Dec 2015

Publication series

NameIEEE World Forum on Internet of Things, WF-IoT 2015 - Proceedings

Conference

Conference2nd IEEE World Forum on Internet of Things, WF-IoT 2015
CountryItaly
CityMilan
Period14/12/1516/12/15

Keywords

  • M2M communications
  • occupancy rate
  • parking policy
  • satisfaction rate
  • smart parking

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