Automated valet parking and charging: A dynamic pricing and reservation-based framework leveraging multi-agent reinforcement learning

GO Boateng, H Si, H Xia, X Guo, C Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Vehicle parking resource provisioning in major cities and urban areas has gradually
become a challenging issue in Intelligent Transportation Systems (ITS) due to the upward …

[HTML][HTML] Deep knowledge distillation: A self-mutual learning framework for traffic prediction

Y Li, P Li, D Yan, Y Liu, Z Liu - Expert Systems with Applications, 2024 - Elsevier
Traffic flow prediction in spatio-temporal networks is a crucial aspect of Intelligent
Transportation Systems (ITS). Existing traffic flow forecasting methods, particularly those …

Improving freeway merging efficiency via flow-level coordination of connected and autonomous vehicles

J Zhu, L Wang, I Tasic, X Qu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Freeway on-ramps are typical bottlenecks in the freeway network due to the frequent
disturbances caused by their associated merging, weaving, and lane-changing behaviors …

Validity of Variable Message Sign Information: Is It Influenced by Drivers' Short-Term Memory?

J Du, G Ren, J Cui, W Liu, J Ma… - Transportation …, 2023 - journals.sagepub.com
Variable message signs (VMSs), as a key component of intelligent transportation systems,
have been frequently used in the management of urban roads to provide drivers with real …

Understanding En-route Decisions: An Investigation of Motorcycle Riders' Route Switching Propensity

SR FADILAH, H NISHIUCHI… - Journal of the Eastern Asia …, 2024 - jstage.jst.go.jp
抄録 Variable message signs are expected to minimize congestion by assisting drivers in
making better routing decisions. In addition to filling the literature gap while considering the …