Analysis of Traffic Congestion Reducer Agents on Multi-Lane Highway

Yuka Ishihara, Toshiharu Sugawara

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

Abstract

We proposes the traffic congestion reducer agents and performed simulation to determine how well they mitigate congestion on multiple-lane highways. Traffic congestion has been a major problem in many countries for years, but as yet there is no effective method/control to mitigate the congestion due to the complex behaviors of cars on multiple-lane roads. We previously proposed traffic congestion reducer (TCR) agents, which are intelligent autonomous agents, to pursue the minimum extra functions required to mitigate or avoid congestion on a highway. Then, we found that, when more than two agents are arranged in succession, they can mitigate the initial (so, light) congestion on a single-lane highway. However, we did not analyze their effectiveness on multi-lane highways, which is more difficult because the dynamics of lane changes. Thus, we built an agent-based simulation for a multiple-lane highway to examine the effects of TCR agents and behaviors of nearby car agents. We also modified the definition of the TCR agents for behavior on a multi-lane highway. The simulation results revealed that while TCR agents can mitigate light congestion, its mitigation mechanism is quite different from that on a single-lane highway.

Original languageEnglish
Title of host publicationProceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-141
Number of pages7
ISBN (Electronic)9781728126623
DOIs
Publication statusPublished - 2019 Feb 1
Event2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019 - Singapore, Singapore
Duration: 2019 Feb 282019 Mar 2

Publication series

NameProceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019

Conference

Conference2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019
CountrySingapore
CitySingapore
Period19/2/2819/3/2

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Keywords

  • agent-based modeling
  • intelligent control
  • multi-lane highway
  • traffic congestion

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Automotive Engineering
  • Control and Optimization

Cite this

Ishihara, Y., & Sugawara, T. (2019). Analysis of Traffic Congestion Reducer Agents on Multi-Lane Highway. In Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019 (pp. 135-141). [8782519] (Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICoIAS.2019.00030