Conceptual framework of open parking space information for a smart city

Liang Yu Wu, Yi-Hsing Tseng

Research output: Contribution to conferencePaperpeer-review


Finding a parking space is frequently a problem for a driver getting into a city. Management of parking spaces is also a critical issue of city government. Thanks to the development of sensing technology, automatic sensing systems of parking spaces have been installed in many parking lots. Some of the collected parking space information is open to public and can be accessed via internet or mobile phones. For instance, we can get the parking space information from the variable-message sign (VMS) at the entrance of the parking lots of the mall, hospital and so on, or we can have the real-time parking space information of some outdoor parking lots or even the roadside parallel parking spaces. As more and more parking information that we can access, the problem of the interoperability comes behind. Nowadays, the public cannot access all the parking information from a single platform or frame. In this paper, we review different technologies used for sensing the parking space. Then, we employ the concept of open data, consider the demands of various industries and try to integrate various kinds of parking information in a frame. Besides, we class the parking space into different levels by considering two issues: First, the accuracy, detail, sampling rate, time delay and openness of the data. Second, the ability of guiding and communication of parking space. The features of availability, redistribution and universal of the data can maximize the value of the data and create valuable profits for the society. As the development of the smart city is thriving, the situation of being the same issue but containing different types of data, like parking information will become more and more common. We expect that this kind of concept in the paper can also apply for other issues.

Original languageEnglish
Number of pages7
Publication statusPublished - 2018 Jan 1
Event39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018 - Kuala Lumpur, Malaysia
Duration: 2018 Oct 152018 Oct 19


Conference39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018
CityKuala Lumpur

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Earth and Planetary Sciences(all)
  • Computer Networks and Communications


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