A typical urban signalized intersection poses significant modeling and control challenges in a mixed traffic environment consisting of connected automated vehicles (CAVs) and human …
C Liu, F Zheng, R Li, X Liu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
In the foreseeable future, a coexistence of human-driven vehicles (HVs) and connected automated vehicles (CAVs) is expected in traffic flow systems. Effectively controlling CAVs to …
M Shen, RA Dollar, TG Molnar, CR He… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) have shown great potential in improving the energy efficiency of road transportation. Energy savings, however, greatly depends on …
L Guo, Y Jia - IEEE Transactions on Intelligent Vehicles, 2020 - ieeexplore.ieee.org
Modeling and predicting human-driven vehicle behaviors are critically important for the planning and control of autonomous vehicles in mixed traffic which includes both …
This paper proposes an innovative distributed longitudinal control strategy for connected automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …
RA Dollar, A Vahidi - IEEE Transactions on Intelligent Vehicles, 2018 - ieeexplore.ieee.org
Connected intelligent vehicle following can improve safety and efficiency compared to today's road transport, but real traffic in the near future will not provide an ideal setting for its …
In this paper, we present a hierarchical distributed coordination strategy for connected and automated vehicles (CAVs) that are travelling through multiple unsignalized intersections …
This article presents a unified approach to the problem of learning-based optimal control of connected human-driven and autonomous vehicles in mixed-traffic environments including …
Driving behavior is one of the main reasons that causes bottleneck on the freeway or restricts the capacity of signalized intersections. This paper proposes a car-following …