Factors affecting traffic flow efficiency implications of connected and autonomous vehicles: A review and policy recommendations
Connected and autonomous vehicles are expected to gradually enter the transport modal
mix sooner or later. Academic discussions of their expected impacts are well underway …
mix sooner or later. Academic discussions of their expected impacts are well underway …
Data-driven models for train control dynamics in high-speed railways: LAG-LSTM for train trajectory prediction
J Yin, C Ning, T Tang - Information Sciences, 2022 - Elsevier
The construction of an accurate train control model (TCM) is crucial to the design of
automatic train operation and real-time traffic management systems in high-speed railways …
automatic train operation and real-time traffic management systems in high-speed railways …
Personalized car-following control based on a hybrid of reinforcement learning and supervised learning
D Song, B Zhu, J Zhao, J Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of intelligent vehicles, more research has focused on achieving
human-like driving. As an important component of intelligent vehicle control, car-following …
human-like driving. As an important component of intelligent vehicle control, car-following …
A novel asymmetric car following model for driver-assist enabled vehicle dynamics
Adaptive cruise control (ACC) vehicles are proving to be the first generation of driver-assist
enabled vehicles. In order to study the impacts of ACC vehicles on string stability and traffic …
enabled vehicles. In order to study the impacts of ACC vehicles on string stability and traffic …
Car-following models: A multidisciplinary review
Car-following (CF) algorithms are crucial components of traffic simulations and have been
integrated into many production vehicles equipped with Advanced Driving Assistance …
integrated into many production vehicles equipped with Advanced Driving Assistance …
[HTML][HTML] Geometry-aware car-following model construction: Theoretical modeling and empirical analysis on horizontal curves
Road geometry significantly influences the physical forces acting on vehicles and the
perceptual ability of drivers. Unfortunately, most available car-following models ignore the …
perceptual ability of drivers. Unfortunately, most available car-following models ignore the …
Data-driven approaches for modeling train control models: Comparison and case studies
In railway systems, the train dynamics are usually affected by the external environment (eg,
snow and wind) and wear-out of on-board equipment, leading to the performance …
snow and wind) and wear-out of on-board equipment, leading to the performance …
Gaussian process-based personalized adaptive cruise control
Advanced driver-assistance systems (ADAS) have matured over the past few decades with
the dedication to enhance user experience and gain a wider market penetration. However …
the dedication to enhance user experience and gain a wider market penetration. However …
Controllable probability-limited and learning-based human-like vehicle behavior and trajectory generation for autonomous driving testing in highway scenario
C Wei, F Hui, AJ Khattak, Y Zhang, W Wang - Expert Systems with …, 2023 - Elsevier
Virtual simulation testing (VST) has become the main testing method for autonomous driving
systems (ADSs) and autonomous driving assistance algorithms (ADAAs). The behavior and …
systems (ADSs) and autonomous driving assistance algorithms (ADAAs). The behavior and …
Car following behavioral stochasticity analysis and modeling: Perspective from wave travel time
This paper analyzes the car following behavioral stochasticity based on two sets of field
experimental trajectory data by measuring the wave travel time series τ˜ n (t) of vehicle n …
experimental trajectory data by measuring the wave travel time series τ˜ n (t) of vehicle n …