Selecting Compliant Agents for Opt-in Micro-Tolling Conference Paper uri icon

abstract

  • This paper examines the impact of tolls on social welfare in the context of a transportation network in which only a portion of the agents are subject to tolls. More specifically, this paper addresses the question: which subset of agents provides the most system benefit if they are compliant with an approximate marginal cost tolling scheme? Since previous work suggests this problem is NP-hard, we examine a heuristic approach. Our experimental results on three real-world traffic scenarios suggest that evaluating the marginal impact of a given agent serves as a particularly strong heuristic for selecting an agent to be compliant. Results from using this heuristic for selecting 7.6% of the agents to be compliant achieved an increase of up to 10.9% in social welfare over not tolling at all. The presented heuristic approach and conclusions can help practitioners target specific agents to participate in an opt-in tolling scheme.

published proceedings

  • Proceedings of the AAAI Conference on Artificial Intelligence

author list (cited authors)

  • Hanna, J. P., Sharon, G., Boyles, S. D., & Stone, P.

citation count

  • 0

complete list of authors

  • Hanna, Josiah P||Sharon, Guni||Boyles, Stephen D||Stone, Peter

publication date

  • July 2019