In this article, we demonstrate a zero-shot transfer of an autonomous driving policy from simulation to University of Delaware's scaled smart city with adversarial multi-agent …
In this paper, we aim to optimize the process of Connected and Automated Vehicles (CAVs) merging at a traffic intersection while guaranteeing the state, control and safety constraints …
G An, A Talebpour - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
This study proposes a vehicle platooning algorithm to minimize the disruption from a lane- changing maneuver. Towards achieving this objective, while most studies emphasize the …
M Li, Z Li, S Wang, S Zheng - IEEE transactions on intelligent …, 2022 - ieeexplore.ieee.org
A promising way to improve efficiency in highway on-ramp regions is to control connected and automated vehicles (CAVs) to pass the merging section sequentially. The primary …
Eco-driving, a timely and well-known subject, aims at reducing fuel consumption by appropriately maneuvering a vehicle with a human or automated driver. In this work, the eco …
Y Guo, J Ma - Transportmetrica A: Transport Science, 2020 - Taylor & Francis
Transportation agencies have started including phased deployment of connected and automated vehicle (CAV) technologies in their transportation plans and programs. While …
The common thread that characterizes energy-efficient mobility systems for smart cities is their interconnectivity which enables the exchange of massive amounts of data. This, in turn …
D Kim, HD Nguyen, K Han - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
In this paper, a state-constrained optimal solution based real-time vehicle path planning strategy, which aids the vehicle to avoid collision by the lane change maneuver, is …
AA Malikopoulos, L Zhao - 2019 American control conference …, 2019 - ieeexplore.ieee.org
In earlier work, a decentralized optimal control framework was established for coordinating online connected and automated vehicles (CAVs) in merging roadways, urban intersections …