Quickest Path Selection Towards the Destination in Urban Environment

Eungyeong Jang, Karshiev Sanjar, Abdul Rehman, Jeonghong Kim

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

6 Scopus citations

Abstract

For the last few decades most of the world population is heading to the urban environment that is directly effecting the every aspect of the life. The pace of increasing vehicles is greatly higher than the expansion of the road network infrastructure in the urban areas. This causes severe traffic jams and increases the time a car stays on the road. Therefore, high carbon emissions pollute cities and degrade the quality of human life. In this paper authors focus on the quickest path selection algorithm by means of considering the passing time of each junction using a weighted graph. The experimental results show that our method is more efficient than other method.

Original languageEnglish
Title of host publicationICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages623-628
Number of pages6
ISBN (Electronic)9781728113395
DOIs
StatePublished - Jul 2019
Event11th International Conference on Ubiquitous and Future Networks, ICUFN 2019 - Zagreb, Croatia
Duration: 2 Jul 20195 Jul 2019

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2019-July
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference11th International Conference on Ubiquitous and Future Networks, ICUFN 2019
Country/TerritoryCroatia
CityZagreb
Period2/07/195/07/19

Keywords

  • soot
  • traffic distribution
  • traffic flow
  • traffic optimization

Fingerprint

Dive into the research topics of 'Quickest Path Selection Towards the Destination in Urban Environment'. Together they form a unique fingerprint.

Cite this