Cross-domain cooperative route planning for edge computing-enabled multi-connected vehicles

D Xue, Y Guo, N Li, X Song, M He - Computers and Electrical Engineering, 2023 - Elsevier
The safety and effectiveness of transportation systems could be improved significantly
through edge computing which can be relied on to assist intelligent and connected vehicles …

Strategic information perturbation for an online in-vehicle coordinated routing mechanism for connected vehicles under mixed-strategy congestion game

S Spana, L Du, Y Yin - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
The increased market penetration of route guidance tools–relaying real-time traffic
information to drivers–can have damaging effects on transportation networks, including …

Congestion reduction via personalized incentives

A Ghafelebashi, M Razaviyayn, M Dessouky - Transportation Research Part …, 2023 - Elsevier
With rapid population growth and urban development, traffic congestion has become an
inescapable issue, especially in large cities. Many congestion reduction strategies have …

[HTML][HTML] Toward efficient transportation electrification of heavy-duty trucks: Joint scheduling of truck routing and charging

MA Bragin, Z Ye, N Yu - Transportation Research Part C: Emerging …, 2024 - Elsevier
The timely transportation of goods to customers is an essential component of economic
activities. However, heavy-duty diesel trucks used for goods delivery significantly contribute …

A traffic congestion analysis by user equilibrium and system optimum with incomplete information

Q Zhang, SQ Liu, M Masoud - Journal of Combinatorial Optimization, 2022 - Springer
Nowadays, the rapid development of intelligent navigation systems has profound impacts on
the routing of traffic users. With the assistance of these intelligent navigation systems, traffic …

Personalized Pareto-improving pricing-and-routing schemes for near-optimum freight routing: An alternative approach to congestion pricing

AA Papadopoulos, I Kordonis, MM Dessouky… - … Research Part C …, 2021 - Elsevier
Traffic congestion constitutes a major problem in urban areas. Trucks contribute to
congestion and have a negative impact on the environment due to their size, slower …

Incentive Mechanism for Privacy-Preserving Collaborative Routing Using Secure Multi-Party Computation and Blockchain

C Wang, S Peeta - Sensors, 2024 - mdpi.com
Traffic congestion results from the spatio-temporal imbalance of demand and supply. With
the advances in connected technologies, incentive mechanisms for collaborative routing …

Personalized freight route recommendations with system optimality considerations: A utility learning approach

AA Papadopoulos, I Kordonis… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Traffic congestion has a negative economic and environmental impact. Traffic conditions
become even worse in areas with high volume of trucks. In this paper, we propose a …

Cooperative exchange-based platooning using predicted fuel-optimal operation of heavy-duty vehicles

C Earnhardt, B Groelke, J Borek… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Several driving situations exist where fuel-optimal driving in terms of aggregate performance
can only be achieved when one or more vehicles incurs a sacrifice in its own fuel …

The cost of denied observation in multiagent submodular optimization

D Grimsman, JH Seaton, JR Marden… - 2020 59th IEEE …, 2020 - ieeexplore.ieee.org
A popular formalism for multiagent control applies tools from game theory, casting a
multiagent decision problem as a cooperation-style game in which individual agents make …