… intersection. The objective of this research was to develop an intersectioncontrol algorithm that can jointly optimize the system performance and the trajectory of every single vehicle. An …
Y Feng, C Yu, HX Liu - Transportation Research Part C: Emerging …, 2018 - Elsevier
… of connected and automatedvehicle (CAV) technologies, vehicles equipped … control framework for isolated intersections. The control framework is modeled as a two-stage optimization …
Z Li, L Elefteriadou, S Ranka - Transportation Research Part C: Emerging …, 2014 - Elsevier
… signal controloptimization algorithm for automatedvehicles. … optimization algorithm for a simple signalized intersection with single-lane through approaches under an automatedvehicle …
… This section presents the intersectioncontrol applied in this paper. It follows the same structure as the previous one with a focus on the consideration of pedestrians in each of the …
… stable headways to the vehicle in ahead compared to conventional vehicles. Simulation … flow and automatedvehicle ratio over the performance of intersection. Index Terms—Vehicle-to-…
Y Bichiou, HA Rakha - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
… One of the most challenging scenarios that researchers need to address is how an automatedvehicle should behave in an intersection and cross it optimally so that the delay is …
A Baz, P Yi, A Qurashi - Vehicles, 2020 - mdpi.com
… -theory-based priority control algorithm for autonomousvehicles to improve intersection safety and … has developed a priority control algorithm for optimizing the movement of vehicles at …
W Wu, Y Liu, W Liu, F Zhang, V Dixit… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… CONCLUSION This paper proposed a lane-based intersectioncontrol model for connected and automatedvehicles, where vehicle’s physical size is incorporated. Specifically, we …
S Jiang, X Chen, X Lin, M Li - Transportation Research Part C: Emerging …, 2024 - Elsevier
… research on intersectioncontrol in a CAV environment is primarily restricted by solution quality issues caused by empirical rules or computational challenges of optimization models. …