CoDrive: Cooperative Driving Scheme for Vehicles in Urban Signalized Intersections

Yiran Zhao, Shuochao Yao, Huajie Shao, Tarek Abdelzaher

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

Abstract

This paper presents the design and evaluation of CoDrive, a cooperative speed advice system aiming at vehicular fuel savings by reconciling speeds of different vehicles with the timing of signalized intersections. Existing systems for speed coordination and platoon management primarily focus on safety, stability, and security issues. In the authors' own prior work, speed optimizations are discussed for minimizing fuel consumption by exploiting signalized intersection timing. In this paper, we recognize that vehicles whose paths diverge after the next intersection have different fuel-optimal speeds. Since slower vehicles will block faster ones from meeting their optimal speed in heavy traffic or on single-lane roads, we develop an algorithm for speed re-negotiation that arrives at a compromise speed for all vehicles involved. The resulting cooperative speed advice scheme minimizes the total fuel consumption of the involved vehicles, leading to a global optimum. An accounting scheme offers incentives that compensate for resulting inequity in savings distribution across individual vehicles. For evaluation, we use the SUMO simulator. We show that our cooperative scheme saves up to 38.2% in fuel over the baseline where no speed advice is provided, and saves up to 7.9% over prior work GreenDrive.

Original languageEnglish (US)
Title of host publicationProceedings - 9th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages308-319
Number of pages12
ISBN (Print)9781538653012
DOIs
StatePublished - Aug 21 2018
Event9th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2018 - Porto, Portugal
Duration: Apr 11 2018Apr 13 2018

Publication series

NameProceedings - 9th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2018

Other

Other9th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2018
CountryPortugal
CityPorto
Period4/11/184/13/18

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Keywords

  • Cooperative driving
  • fuel consumption model
  • fuel saving
  • traffic signal timing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Optimization

Cite this

Zhao, Y., Yao, S., Shao, H., & Abdelzaher, T. (2018). CoDrive: Cooperative Driving Scheme for Vehicles in Urban Signalized Intersections. In Proceedings - 9th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2018 (pp. 308-319). [8443744] (Proceedings - 9th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCPS.2018.00037