Automated and Cooperative Vehicle Merging at Highway On-Ramps

By Jackeline Rios-Torres, Andreas A. Malikopoulos. IEEE transactions on intelligent transportation systems (Print), 2017

433 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/cf49d1e2418d9c1cff261dcc84e28ced09912d52

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In Automotive Engineering

In Control and Systems Engineering

In Transportation

Citations in the corpus

Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control (2017, background): “exhibited by [24] and because many traffic phenomena, which affect energy consumption, safety, and travel time are exhibited at the level of low-level dynamics [5], [25], [26], [27].”
A Survey on the Coordination of Connected and Automated Vehicles at Intersections and Merging at Highway On-Ramps (2017, background): “Intersection coordination: The problem formulation proposed in [61] was reformulated as a decentralized problem of coordinating online a continuous flow of CAVs crossing two adjacent intersections in [91].”
Energy saving potentials of connected and automated vehicles (2018, background): “1)∗ [119] S, micro-simulation in merging zone, 30 vehicles +48 optimal coordinated merging into a highway w.”
Policy and society related implications of automated driving: A review of literature and directions for future research (2017, neutral): “…tests of their ACC and CACC control algorithms (see e.g. Eben Li, Li, & Wang, 2013; Kamal, Taguchi, & Yoshimura, 2016; Luo, Liu, Li, & Wang, 2010; Rios-torres & Malikopoulos, 2016; Wang, Hoogendoorn, Daamen, & van Arem, 2014) including controllers for hybrid electric vehicles (Luo, Chen, Zhang,…”
Flow: A Modular Learning Framework for Mixed Autonomy Traffic (2017, background): “Low-level vehicle dynamics, however, are crucial [61] because many low-level trafﬁc phenomena affect energy consumption, safety, and travel time [14], [62], [63], [64].”
Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, background): “A simpliﬁed problem can be formulated assuming that [201] (i) vehicles entering the control zone are served on a FIFO basis, (ii) only one vehicle at a time is allowed in the merging zone, (iii) no turns are allowed in the merging zone, and (iv) vehicles cross the merging zone at constant velocity.”