A Survey on the Coordination of Connected and Automated Vehicles at Intersections and Merging at Highway On-Ramps

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

750 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/d0208686dd42a786da3831f315ef28d96671b543

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In Automotive Engineering

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Citations in the corpus

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].”
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis (2019, background): “data center management [1, 2], robotics [3], autonomous driving [4, 5], energy systems [6], manufacturing [7, 8].”
Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, methodology): “Due to space limitations, we refer the interested reader to the recent survey [200], that has summarized these e ﬀ orts.”
Energy saving potentials of connected and automated vehicles (2018, background): “A rather comprehensive survey of lane change/merge for CAVs can be found in [113], [114].”
A decentralized energy-optimal control framework for connected automated vehicles at signal-free intersections (2016, background): “In this case, we minimize transient engine operation, thus we can have direct benefits in fuel consumption and emissions since internal combustion engines are optimized over steady state operating points (constant torque and speed); see Rios-Torres and Malikopoulos (2017b) and Malikopoulos (2013). I”
Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control (2017, background): “Low-level vehicle dynamics, however, are of crucial importance, as 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].”
Platoons of connected vehicles can double throughput in urban roads (2015, methodology): “…vehicle control using V2V communication to execute tasks such as cooperative adaptive cruise control (CACC), merging, and safely crossing an intersection (Ploeg et al. (2011); Kianfar et al. (2012); Milanes et al. (2014); Wolterink et al.; Hafner et al. (2013); Rios-Torres and Malikopoulos (2016)).”
Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, methodology): “The approach of motivating human drivers to follow the provided instructions should be studied, too [525].”