[HTML][HTML] Model-based dynamic toll pricing: An overview

C Lombardi, L Picado-Santos, AM Annaswamy - Applied Sciences, 2021 - mdpi.com
In this paper, we review some of the most recent research regarding design, simulation,
implementation and evaluation of dynamic tolling schemes. Analyzing the structure of the …

[PDF][PDF] Alleviating Road Traffic Congestion with Artificial Intelligence.

G Sharon - IJCAI, 2021 - people.engr.tamu.edu
This paper reviews current AI solutions towards road traffic congestion alleviation. Three
specific AI technologies are discussed,(1) intersection management protocols for …

Traffic optimization for a mixture of self-interested and compliant agents

G Sharon, M Albert, T Rambha, S Boyles… - Proceedings of the AAAI …, 2018 - ojs.aaai.org
This paper focuses on two commonly used path assignment policies for agents traversing a
congested network: self-interested routing, and system-optimum routing. In the self …

[PDF][PDF] Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks.

W Qiu, H Chen, B An - IJCAI, 2019 - ijcai.org
Over the past decades, Electronic Toll Collection (ETC) systems have been proved the
capability of alleviating traffic congestion in urban areas. Dynamic Electronic Toll Collection …

Enhanced delta-tolling: Traffic optimization via policy gradient reinforcement learning

H Mirzaei, G Sharon, S Boyles… - 2018 21st …, 2018 - ieeexplore.ieee.org
In the micro-tolling paradigm, a centralized system manager sets different toll values for
each link in a given traffic network with the objective of optimizing the system's performance …

Dyetc: Dynamic electronic toll collection for traffic congestion alleviation

H Chen, B An, G Sharon, J Hanna, P Stone… - Proceedings of the …, 2018 - ojs.aaai.org
To alleviate traffic congestion in urban areas, electronic toll collection (ETC) systems are
deployed all over the world. Despite the merits, tolls are usually pre-determined and fixed …

[HTML][HTML] Sharing diverse information gets driver agents to learn faster: an application in en route trip building

GD Dos Santos, ALC Bazzan - PeerJ Computer Science, 2021 - peerj.com
With the increase in the use of private transportation, developing more efficient ways to
distribute routes in a traffic network has become more and more important. Several attempts …

Dynamic tolling for inducing socially optimal traffic loads

C Maheshwari, K Kulkarni, M Wu… - 2022 American Control …, 2022 - ieeexplore.ieee.org
How to design tolls that induce socially optimal traffic loads with dynamically arriving
travelers who make selfish routing decisions? We propose a two-timescale discrete-time …

Towards a better management of urban traffic pollution using a Pareto max flow approach

S Kamishetty, S Vadlamannati, P Paruchuri - Transportation Research Part …, 2020 - Elsevier
Rising levels of air pollution is a major concern across many parts of the world. In this article,
we develop a transportation policy to handle air pollution caused by the heavy flow of traffic …

[PDF][PDF] LightJason, a Highly Scalable and Concurrent Agent Framework: Overview and Application.

M Aschermann, S Dennisen, P Kraus, JP Müller - AAMAS, 2018 - ifaamas.org
Multiagent systems (MAS) provide useful abstractions for modelling and simulating complex
socio-technical systems. However, existing open-source platforms suffer from serious issues …