Ctrl: Cooperative traffic tolling via reinforcement learning
Y Wang, H Jin, G Zheng - Proceedings of the 31st ACM International …, 2022 - dl.acm.org
People have been working long to tackle the traffic congestion problem. Among the different
measures, traffic tolling has been recognized as an effective way to mitigate citywide …
measures, traffic tolling has been recognized as an effective way to mitigate citywide …
Prediction-based one-shot dynamic parking pricing
Many US metropolitan cities are notorious for their severe shortage of parking spots. To this
end, we present a proactive prediction-driven optimization framework to dynamically adjust …
end, we present a proactive prediction-driven optimization framework to dynamically adjust …
Utomating Mechanism Design with Program Synthesis
SK Narayanasamy - Proc. Automated Learning Agents Workshop, 2022 - par.nsf.gov
This paper presents a new approach to the automated design of mechanisms that
incentivize self-interested agents to maximize a global objective (such as revenue or social …
incentivize self-interested agents to maximize a global objective (such as revenue or social …
Robustness of Congestion Pricing in Traffic Networks with Link-Specific Noise
N Yoshida, K Fujita - International Conference on Principles and Practice …, 2022 - Springer
Road pricing has been attracting attention as a method to alleviate road congestion. In
recent years, applying tolls dynamically has become technically feasible owing to …
recent years, applying tolls dynamically has become technically feasible owing to …
[PDF][PDF] Data-driven Toll Pricing for Optimal Routing Through an Artificial Currency
D van de Sanden - 2022 - research.tue.nl
When mobility users base their routing solely on minimization of personal delays, the
aggregate congestion can be substantially higher compared to a centrally-guided routing …
aggregate congestion can be substantially higher compared to a centrally-guided routing …