[HTML][HTML] Trajectory data-based traffic flow studies: A revisit
In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …
Freeway speed harmonization
In this paper, we present an overview and background on speed harmonization (SH). This
paper reviews a number of representative studies that designed traffic control algorithms …
paper reviews a number of representative studies that designed traffic control algorithms …
Development of an efficient driving strategy for connected and automated vehicles at signalized intersections: A reinforcement learning approach
The concept of Connected and Automated Vehicles (CAVs) enables instant traffic
information to be shared among vehicle networks. With this newly proposed concept, a …
information to be shared among vehicle networks. With this newly proposed concept, a …
Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach
It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …
substantially compromise the performance of our urban transport systems. In recent years, in …
Fuel consumption and transportation emissions evaluation of mixed traffic flow with connected automated vehicles and human-driven vehicles on expressway
The application of connected and automated vehicles can significantly reduce traffic
congestion, fuel consumption, and transportation emissions. Most existing studies on …
congestion, fuel consumption, and transportation emissions. Most existing studies on …
Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment
This research proposed an eco-driving system for an isolated signalized intersection under
partially Connected and Automated Vehicles (CAV) environment. This system prioritizes …
partially Connected and Automated Vehicles (CAV) environment. This system prioritizes …
A recurrent neural network based microscopic car following model to predict traffic oscillation
This paper proposes a recurrent neural network based microscopic car following model that
is able to accurately capture and predict traffic oscillation. Neural network models have …
is able to accurately capture and predict traffic oscillation. Neural network models have …
Joint optimization of vehicle trajectories and intersection controllers with connected automated vehicles: Combined dynamic programming and shooting heuristic …
Connected and automated vehicle (CAV) technologies offer promising solutions to
challenges that face today's transportation systems. Vehicular trajectory control and …
challenges that face today's transportation systems. Vehicular trajectory control and …
Kinetic analysis and numerical tests of an adaptive car-following model for real-time traffic in ITS
YH Yin, X Lü, R Jiang, B Jia, Z Gao - Physica A: Statistical Mechanics and …, 2024 - Elsevier
Abundant real-time vehicle trajectory information provides an important guarantee for the
driving safety and drivers' decision-making in the intelligent transportation system (ITS) …
driving safety and drivers' decision-making in the intelligent transportation system (ITS) …
Vibration-theoretic approach to vulnerability analysis of nonlinear vehicle platoons
This research explores the inherent vulnerability of nonlinear vehicle platoons characterized
by the oscillatory behavior triggered by external perturbations. The perturbation exerted on …
by the oscillatory behavior triggered by external perturbations. The perturbation exerted on …