Mapping of Sensor and Route Coordinates for Smart Cities

Yasir Saleem, Noel Crespi

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

2 Citations (SciVal)


Over the last decade, the evolution of the Internet of Things (IoT) has resulted in a drastic increase in the development of smart cities, including smart parking and intelligent transportation systems (ITS). Smart cities combine a variety of sensors (such as traffic, parking and weather sensors) deployed within these cities. These sensors are used for various applications, such as transportation, parking and weather forecasting. We propose an approach for the mapping of traffic sensors with route coordinates in order to analyze traffic conditions (e.g., level of congestion) on the roadways. We present an algorithm and provide two illustrative examples that cover all of the possible mapping scenarios. We also evaluate the performance of our proposed approach in terms of sensors' correct detection, missed detection and false detection on the routes. Our work can be used for the development of various smart city applications, such as traffic management and smart parking.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
EditorsChung-Horng Lung, Thomas Conte, Ling Liu, Toyokazu Akiyama, Kamrul Hasan, Edmundo Tovar, Hiroki Takakura, William Claycomb, Stelvio Cimato, Ji-Jiang Yang, Zhiyong Zhang, Sheikh Iqbal Ahamed, Sorel Reisman, Claudio Demartini, Motonori Nakamura
PublisherIEEE Press
Number of pages7
ISBN (Electronic)9781538626665
ISBN (Print)9781538626672
Publication statusPublished - 22 Jun 2018
Externally publishedYes

Publication series

NameProceedings - International Computer Software and Applications Conference
ISSN (Print)0730-3157


  • Internet of Things
  • Smart cities
  • IoT
  • Coordinate Mapping
  • Sensor Coordinates
  • Route Coordinates
  • Internet of Things (IoT)
  • Smart Cities


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