Emergent behaviors in mixed-autonomy traffic

C Wu, A Kreidieh, E Vinitsky… - Conference on Robot …, 2017 - proceedings.mlr.press
… We show the resulting emergent behaviors observed in mixed-autonomy traffic environments,
including the ability of autonomous vehicles to stabilize a ring road, to tailgate, to platoon, …

A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning

X Di, R Shi - Transportation research part C: emerging technologies, 2021 - Elsevier
… ) focus on training a single AV on an empty highway or with a few HVs surrounded (corresponding
to 1 AV + m HVs), while this paper reviews a broader literature in mixed autonomy. …

Optimizing mixed autonomy traffic flow with decentralized autonomous vehicles and multi-agent rl

E Vinitsky, N Lichtle, K Parvate, A Bayen - arXiv preprint arXiv:2011.00120, 2020 - arxiv.org
… Abstract—We study the ability of autonomous vehicles to improve the throughput of a bottleneck
using a fully decentralized control scheme in a mixed autonomy setting. We consider the …

Pricing traffic networks with mixed vehicle autonomy

N Mehr, R Horowitz - 2019 American Control Conference (ACC), 2019 - ieeexplore.ieee.org
… Traffic networks with both vehicle types present on road, are … mixed vehicle autonomy. The
mobility and sustainability benefits of autonomous vehicles in networks with mixed autonomy

Optimizing mixed autonomy traffic flow with decentralized autonomous vehicles and multi-agent reinforcement learning

E Vinitsky, N Lichtlé, K Parvate, A Bayen - ACM Transactions on Cyber …, 2023 - dl.acm.org
… We study the ability of autonomous vehicles to improve the throughput of a bottleneck using
a fully decentralized control scheme in a mixed autonomy setting. We consider the problem …

Robustness and adaptability of reinforcement learning-based cooperative autonomous driving in mixed-autonomy traffic

R Valiente, B Toghi, R Pedarsani… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
… outlook for the adoption of autonomous vehicles on the roads is a mixed-traffic scenario in
… & autonomous vehicles (CAVs) via vehicleto-vehicle (V2V) communication allow vehicles to …

An autonomous vehicle exclusive lane design problem under the mixed autonomy traffic environment: Model formulation and large-scale algorithm design

T Wang, Y Li, B Jia, J Long - Transportation Research Part E: Logistics and …, 2024 - Elsevier
autonomous vehicles (CAVs) and human-driven vehicles (HDVs) … real-time, the design of
autonomous vehicle (AV)-exclusive lanes … The lower-level problem describes the mixed routing …

Benchmarks for reinforcement learning in mixed-autonomy traffic

E Vinitsky, A Kreidieh, L Le Flem… - … on robot learning, 2018 - proceedings.mlr.press
… The mixed-autonomy traffic benchmarks presented in this … generating control strategies for
autonomous vehicles, traffic lights, … and on training autonomous vehicles to maximize system-…

Collaborative planning for mixed-autonomy lane merging

S Bansal, A Cosgun, A Nakhaei… - 2018 IEEE/RSJ …, 2018 - ieeexplore.ieee.org
mixedautonomy traffic where a Human-driven Vehicle (HV) and an Autonomous Vehicle (AV…
further investigation on collaborative decision making algorithms for mixed-autonomy traffic. …

Routing for traffic networks with mixed autonomy

DA Lazar, S Coogan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
mixed autonomy, each corresponding to an assumption about the technological capabilities
of autonomous vehicles, and we define a class of road latency functions that incorporates …