IJCAI 2022poster4 citations

A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections

Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding, Archie Chapman

Abstract

Autonomous intersection management has the potential to reduce road traffic congestion and energy consumption. To realize this potential, efficient algorithms are needed. However, most existing studies locally optimize one intersection at a time, and this can cause negative externalities on the traffic network as a whole. Here, we focus on coordinating multiple intersections, and formulate the problem as a distributed constraint optimisation problem (DCOP). We consider three utility design approaches that trade off efficiency and fairness. Our polynomial-time algorithm for coordinating multiple intersections reduces the traffic delay by about 41 percentage points compared to independent single intersection management approaches.

Multidisciplinary Topics and Applications: TransportationAgent-based and Multi-agent Systems: Coordination and CooperationConstraint Satisfaction and Optimization: Distributed Constraints
BibTeX
@inproceedings{ijcai2022p534,
  title     = {A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections},
  author    = {Iwase, Tatsuya and Stein, Sebastian and Gerding, Enrico H. and Chapman, Archie},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Lud De Raedt},
  pages     = {3847--3853},
  year      = {2022},
  month     = {7},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2022/534},
  url       = {https://doi.org/10.24963/ijcai.2022/534},
}
A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections · IJCAI 2022