Data-oriented network aggregation for large-scale network analysis using probe-vehicle trajectories

Shohei Yasuda, Takamasa Iryo, Katsuya Sakai, Kazuya Fukushima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Network representation is required to be simple and to have a high affinity to observed data, considering large-scale transportation network analysis. With the spread of technologies such as probe vehicles, continuous acquisition of detailed traffic data in a large-scale network is now possible. It is needed to link characteristic values to each link of network data for utilizing that. However, handling the data linked to all links of a detailed network can be very difficult when the number of links in the network is very large. In that case, aggregating a network structure is an effective approach, however, existing methods have some issues regarding the subjectivity of network selection or the dependence on the original network structure. In this paper, we developed a method to generate an aggregated network consisting of observed vehicle trajectories. Using observed vehicle trajectories to represent network can improve the objectivity of network representation and relieve the dependence on the original network data. As shown by numerical examples of Kobe area network, the complexity of the structure of the aggregated network is not too simple to lose information under network-wide traffic conditions and not too complex to incur a huge calculating cost.

Original languageEnglish
Title of host publication2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1677-1682
Number of pages6
ISBN (Electronic)9781538670248
DOIs
Publication statusPublished - 2019 Oct
Externally publishedYes
Event2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, New Zealand
Duration: 2019 Oct 272019 Oct 30

Publication series

Name2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

Conference

Conference2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
CountryNew Zealand
CityAuckland
Period19/10/2719/10/30

ASJC Scopus subject areas

  • Artificial Intelligence
  • Management Science and Operations Research
  • Instrumentation
  • Transportation

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