A survey on approximate edge AI for energy efficient autonomous driving services
Autonomous driving services depends on active sensing from modules such as camera,
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …
Bibliometric analysis and systematic literature review of the traffic paradoxes (1968–2022)
J Yao, Z Cheng, A Chen - Transportation research part B: methodological, 2023 - Elsevier
Braess proposed one of the classical traffic paradoxes in 1968, which states that adding a
link in a transportation network may increase the travel cost for all travelers in the network …
link in a transportation network may increase the travel cost for all travelers in the network …
[HTML][HTML] Paradox of international maritime organization's carbon intensity indicator
S Wang, HN Psaraftis, J Qi - Communications in Transportation Research, 2021 - Elsevier
The 76th session of the Marine Environment Committee (MEPC 76) of the International
Maritime Organization adopted several mandatory measures in June 2021 to reduce carbon …
Maritime Organization adopted several mandatory measures in June 2021 to reduce carbon …
Virtual track networks: A hierarchical modeling framework and open-source tools for simplified and efficient connected and automated mobility (CAM) system design …
This study presents a novel framework and open-source tools for simulating and managing
connected and automated mobility (CAM) systems, taking into account their hierarchical …
connected and automated mobility (CAM) systems, taking into account their hierarchical …
Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment
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 …
agents (including but not limited to autonomous vehicles, connected and automated …
The role of yielding cameras in pedestrian-vehicle interactions at un-signalized crosswalks: An application of game theoretical model
H Li, H Hu, Z Zhang, Y Zhang - … research part F: traffic psychology and …, 2023 - Elsevier
Objective Pedestrian–vehicle interaction has gained substantial interest in the field of travel
behavior and safety. Although traffic rules stipulate the right of way at unsignalized …
behavior and safety. Although traffic rules stipulate the right of way at unsignalized …
Ridesharing user equilibrium with nodal matching cost and its implications for congestion tolling and platform pricing
Ridesharing (RS) has been modeled as a specific multimodal equilibrium where solo and
RS vehicles have different travel cost structures. An extended network structure that …
RS vehicles have different travel cost structures. An extended network structure that …
A survey on large-population systems and scalable multi-agent reinforcement learning
The analysis and control of large-population systems is of great interest to diverse areas of
research and engineering, ranging from epidemiology over robotic swarms to economics …
research and engineering, ranging from epidemiology over robotic swarms to economics …
[PDF][PDF] A hybrid framework of reinforcement learning and physics-informed deep learning for spatiotemporal mean field games
With a large number of interacting agents in a multi-agent system (MAS), agents' decision-
making processes could be computationally intractable. Mean field games (MFGs) are …
making processes could be computationally intractable. Mean field games (MFGs) are …