Expressive Real-Time Intersection Scheduling

AAAI 2018 pp. 6177-6185

doi:10.1609/AAAI.V32I1.12073 /aaai/2018/goldstein2018aaai-expressive/

Abstract

We present Expressive Real-time Intersection Scheduling (ERIS), a schedule-driven control strategy for adaptive intersection control to reduce traffic congestion. ERIS maintains separate estimates for each lane approaching a traffic intersection allowing it to more accurately estimate the effects of scheduling decisions than previous schedule-driven approaches. We present a detailed description of the search space and A* search heuristic employed by ERIS to make scheduling decisions in real-time (every second). As a result of its increased expressiveness, ERIS outperforms a less expressive schedule-driven approach and a fully-actuated control method in a variety of simulated traffic environments.

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Cite

Text

Goldstein and Smith. "Expressive Real-Time Intersection Scheduling." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.12073

Markdown

[Goldstein and Smith. "Expressive Real-Time Intersection Scheduling." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/goldstein2018aaai-expressive/) doi:10.1609/AAAI.V32I1.12073

BibTeX

@inproceedings{goldstein2018aaai-expressive,
  title     = {{Expressive Real-Time Intersection Scheduling}},
  author    = {Goldstein, Rick and Smith, Stephen F.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {6177-6185},
  doi       = {10.1609/AAAI.V32I1.12073},
  url       = {https://mlanthology.org/aaai/2018/goldstein2018aaai-expressive/}
}