Results 51 to 60 of about 3,827 (190)
ABSTRACT Automated driving (AD) technologies are transforming the automotive industry, challenging incumbent actors and regional economic structures. Using an evolutionary framework, this study investigates how regional technological capabilities affect the innovation and implementation of AD technologies in Germany. By integrating both patent data and
Lennart Schott, Kerstin J. Schaefer
wiley +1 more source
Currently, there is a widespread concern over cooperative driving based on vehicle-to-vehicle communication due to its considerable potential to improve the increased traffic safety, efficiency, costs, and intellectualization.
Junhui Zhang, Qing Li, Dapeng Chen
doaj +1 more source
Background Surging acceptance of adaptive cruise control (ACC) across the globe is further escalating concerns over its energy impact. Two questions have directed much of this project: how to distinguish ACC driving behaviour from that of the human ...
Michail Makridis +3 more
doaj +1 more source
An adaptive graph reinforcement learning method for scalable multi‐train cooperative control
Abstract Multi‐Train Optimal Control (MTOC) addresses the cooperative control problem of multi‐trains running on railway tracks through centralized or distributed controllers. However, two critical challenges emerge in solving MTOC problems: (1) the dynamic system dimensionality caused by time‐varying train numbers during station arrivals and ...
Zicong Zhao +4 more
wiley +1 more source
This paper investigates the cooperative platoon control problem of heterogeneous vehicles. Under a leader and predecessor following communication structure, each following vehicle tracks the state of the leader while maintaining a constant spacing ...
Zhongchang Liu +3 more
doaj +1 more source
An adaptive approach to longitudinal platooning with heterogeneous vehicle saturations
Adaptive CACC strategies have been recently proposed to stabilize a platoon with non-identical and uncertain vehicle dynamics (heterogeneous platoon). This work proposes a method to augment such strategies with a mechanism coping with saturation constraints (i.e. engine constraints).
Tao, T. (author) +2 more
openaire +3 more sources
Abstract This paper introduces a real‐time framework designed to optimize intersection signal timing and vehicles’ trajectories across a network of intersections in a mixed environment of human‐driven and automated fleets. The network‐level optimization model is decomposed into intersection‐level sub‐models, whose decisions are coordinated through ...
Ramin Niroumand +3 more
wiley +1 more source
Macroscopic flow control of connected and automated vehicles at signalized intersections
Abstract To fully leverage connected automated vehicle (CAV) technology for improving traffic flow at signalized intersections, this paper addresses the scalability limitations of traditional microscopic control methods. We propose a macroscopic connected automated flow control (CAFC) framework based on the cell transmission model (CTM), which ...
Yifan Yao +6 more
wiley +1 more source
In this paper, we study the stability of the stochastically heterogeneous traffic flow involving connected and automated vehicles (CAVs) and human-driven vehicles (HDVs).
Meiqi Liu, Yang Chen, Ruochen Hao
doaj +1 more source
Stochastic String Stability of Vehicle Platoons via Cooperative Adaptive Cruise Control with Lossy Communication [PDF]
This paper is about obtaining stable vehicle platooning by using Cooperative Adaptive Cruise Control when the communication is unreliable and suffers from message losses.
Acciani, Francesco +3 more
core +1 more source

