[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
… , Electronic Toll Collection (ETC) systems have been proved the capability of alleviating traffic
congestion in … [2018] propose a dynamic model called DyETC which formulates the DETC …

A dynamic and deadline-oriented road pricing mechanism for urban traffic management

J Jin, X Zhu, B Wu, J Zhang… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
… This scheme is implemented using electronic toll collection … define the dynamic road pricing
problem based on the DyETC[… vehicles in order to alleviate traffic congestion, we designed …

Toll plaza lane choice and lane configuration strategy for autonomous vehicles in mixed traffic

B Yu, D Mwaba - … of Transportation Engineering, Part A: Systems, 2020 - ascelibrary.org
toll plaza with manual toll collection (MTC), electronic toll … Thus, a reduction in mean waiting
time is also an aim of this … speeds sufficient so as not to create toll traffic jams. In addition, …

[PDF][PDF] Toll-based learning for minimising congestion under heterogeneous preferences

GO Ramos, R Rădulescu, A Nowé… - … and MultiAgent Systems, 2020 - cris.vub.be
… We call this the toll-based route choice problem with preferences … When tolls are used to
alleviate traffic congestions, considering … DyETC: Dynamic Electronic Toll Collection for Traffic

Dynamic Tensor Modeling for Missing Data Completion in Electronic Toll Collection Gantry Systems

Y Rui, Y Zhao, W Lu, C Wang - Sensors, 2023 - mdpi.com
… in systems designed for real… traffic management systems, especially in situations in which
immediate data availability is critical for decision making, like in traffic congestion management

Ctrl: Cooperative traffic tolling via reinforcement learning

Y Wang, H Jin, G Zheng - … on Information & Knowledge Management, 2022 - dl.acm.org
… People have been working long to tackle the traffic congestion problem. Among the different
Dyetc: Dynamic electronic toll collection for traffic congestion alleviation. In Proceedings of …

Toll-based reinforcement learning for efficient equilibria in route choice

GO Ramos, BC Da Silva, R Rădulescu… - The Knowledge …, 2020 - cambridge.org
… into a reduction of the congestion levels by 9.1%, on average. … This kind of model represents
dynamic aspects of traffic as … to minimise traffic congestions using a combination of tolls and …

A matching mechanism with anticipatory tolls for congestion pricing

JC Aguma, AC Regan - … Intelligent Transportation Systems …, 2021 - ieeexplore.ieee.org
… Soh, “Dyetc: Dynamic electronic toll collection for traffic congestion alleviation,” 2018. [Online].
Available: https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16306 [35] A. …

Dynamic Tolling in Arc-based Traffic Assignment Models

CY Chiu, C Maheshwari, PY Su… - 2023 59th Annual …, 2023 - ieeexplore.ieee.org
tolling was first introduced in [13] to study dynamic tolling … scope of that tolling scheme to
bidirectional traffic networks, … the tolling dynamics converges to a neighborhood of a fixed toll

A Priori Lane Selection Strategy for Reinforcement Learning of Dynamic Expressway Tolling

X Zhang, W Wang, J Chen - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
… This research is important to alleviate traffic congestion and improve the commuting …
Dyetc: Dynamic electronic toll collectionfor tra൵ic congestion alleviation[C]//P-roceedings of the …