Multi parameter routing in air polluted urban areas

L. Rothkrantz*

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)


Current route planners on smart phones or special routing devices try to minimize the traveling time. But many users are no longer interested in the shortest route in time but they prefer a healthier route. In many smart cities there is a centralized distributed network of sensors measuring the pollution in a city on different locations for different time of the day. In this paper we present a routing App computing the less polluted route along the streets using the measurement of the eco sensors. The council of a smart city takes care of the health of their citizens. The developed routing App enables travelers with lung diseases to choose a healthy route. The routing algorithm is based on a special variant of the well-known Ant Based Control routing algorithm. To combine data measuring pollution and shortest traveling time, we solved a special multi-parameter problem. In some experiments we performed a user test of the routing App on different time and location.

Original languageEnglish
Title of host publication2020 Smart Cities Symposium Prague, SCSP 2020
EditorsJiri Ruzicka
Place of PublicationPiscataway, NJ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781728168210
Publication statusPublished - 2020
Event2020 Smart Cities Symposium Prague, SCSP 2020 - Prague, Czech Republic
Duration: 25 Jun 2020 → …

Publication series

Name2020 Smart Cities Symposium Prague, SCSP 2020


Conference2020 Smart Cities Symposium Prague, SCSP 2020
Country/TerritoryCzech Republic
Period25/06/20 → …


  • Air pollution
  • Ant Based control
  • Dynamic routing
  • Eco sensors
  • Multi parameter problem


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