Traffic state estimation on highway: A comprehensive survey

T Seo, AM Bayen, T Kusakabe, Y Asakura - Annual reviews in control, 2017 - Elsevier
Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …

[HTML][HTML] Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications

Y Wang, WY Szeto, K Han, TL Friesz - Transportation Research Part B …, 2018 - Elsevier
The fact that road transportation negatively affects the quality of the environment and
deteriorates its bearing capacity has drawn a wide range of concerns among researchers. In …

Optimal pricing of public electric vehicle charging stations considering operations of coupled transportation and power systems

Y Cui, Z Hu, X Duan - IEEE Transactions on Smart Grid, 2021 - ieeexplore.ieee.org
Recognized as an efficient approach to reduce fossil fuel consumption and alleviate
environment crisis, the adoption of electric vehicles (EVs) in urban transportation system is …

Multi-agent based optimal scheduling and trading for multi-microgrids integrated with urban transportation networks

Y Liu, Y Wang, Y Li, HB Gooi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper investigates multi-period optimal energy scheduling and trading for multi-
microgrids (MMGs) integrated with an urban transportation network (UTN). Specifically, an …

Optimal power and semi-dynamic traffic flow in urban electrified transportation networks

S Lv, Z Wei, G Sun, S Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The increasing penetration of electric vehicles (EVs) and emerging dynamic wireless
charging techniques have strengthened the coupling between traffic networks and power …

A tri-level planning approach to resilient expansion and hardening of coupled power distribution and transportation systems

W Gan, M Shahidehpour, J Guo, W Yao… - … on Power Systems, 2021 - ieeexplore.ieee.org
Natural disasters which include major storms, floods, tornados, and hurricanes can seriously
threaten the resilience of large and coupled infrastructures such as electric power …

Analyzing power and dynamic traffic flows in coupled power and transportation networks

Z Zhou, X Zhang, Q Guo, H Sun - Renewable and Sustainable Energy …, 2021 - Elsevier
The increasing penetration of electric vehicles is tightly coupling the operation of power and
transportation systems. The representation of the dynamics of network flows in response to …

Congestion-aware dynamic optimal traffic power flow in coupled transportation power systems

T Zhao, H Yan, X Liu, Z Ding - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Electrification of vehicles is strengthening the interaction between power systems and
transportation systems, formulating the coupled transportation power systems (CTPSs). A …

Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment

Z Shou, X Chen, Y Fu, X Di - Transportation Research Part C: Emerging …, 2022 - Elsevier
This paper aims to develop a paradigm that models the learning behavior of intelligent
agents (including but not limited to autonomous vehicles, connected and automated …

Multi-stage robust optimization of a multi-energy coupled system considering multiple uncertainties

Y Zhang, S **e, S Shu - Energy, 2022 - Elsevier
As an effective means to improve the efficient use of energy, multi-energy coupled systems
have indicated the important direction for the development of Energy Internet in the …