Results 71 to 80 of about 1,708,129 (156)

Signal Timing and CAV Trajectory Joint Control Under Mixed Vehicular Environments With Hierarchical Proximal Policy Optimisation

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper introduces SVCC‐HPPO, a novel Signal‐Vehicle Cooperative Control framework using an improved Hierarchical Proximal Policy Optimisation (H‐PPO) algorithm to jointly optimise traffic signal timing and Connected/Autonomous Vehicle (CAV) trajectories in mixed traffic environments.
Zongyuan Wu, Decai Wang, Mengxin Qiu, Gen Li, Wenxuan Li, Yadan Yan   +5 more
wiley   +1 more source

Cooperative Control for Mixed Traffic at Uncontrolled Intersections Based on Leader‐Follower Decision‐Making Process

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
In this work we proposed a cooperative control method for uncontrolled intersections, which employs a leader–follower decision–making process to assign roles to vehicles by constructing a role relationship directed graph. The weighted maximum clique algorithm is used to break the loops in the role relationship directed graph, considering the influence ...
Zhaojie Wang, Guangquan Lu, Haitian Tan
wiley   +1 more source

A convex and robust distributed model predictive control for heterogeneous vehicle platoons

European Journal of Control
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hao Sun 0029, Li Dai 0001, Giuseppe Fedele, Boli Chen   +3 more
openaire   +5 more sources

Asymptotic Stability and Vehicle Safety in Dynamic Car-Following Platoon

, 2008
A vehicle in a platoon sometimes faces the risk of causing a rear-end collision when it is following a vehicle in front. The stability theory of the well-known General Motors car-following models says that the fluctuations of vehicle speeds and headways ...
Nakatsuji, Takashi, Tanaka, Mitsuru, Ranjitkar, Prakash   +2 more
core   +1 more source

Gap Setting Control of ACC‐Equipped Vehicles for Enhancing Traffic Flow: Deep Reinforcement Learning Approach

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
In this paper, we propose a double deep Q network–based strategy that controls the gap settings of connected and automated vehicles (CAVs) to simultaneously improve traffic flow efficiency and stability. Our approach utilises the existing manufacturer‐developed short and long gap settings of adaptive cruise control systems, which have undergone ...
Sungyong Chung, Dongju Ka, Geongyu Min, Chungwon Lee   +3 more
wiley   +1 more source

Multi-Vehicle Platoon Control With Time-Varying Input Delays

, 2017
Platooning, or controlled management of vehicle formation, enables multiple vehicles equipped with adaptive cruise control (ACC) systems to drive behind one another with a specified inter-vehicle distance, acting together as one unit.
Manbir Sodhi, Yuan, Chengzhi, Varada, Keely, Sodhi, Manbir, Keely Varada, Chengzhi Yuan   +5 more
core   +1 more source

Optimisation and Simulation of Truck Platoon Formation Method Considering Inter‐Vehicle Collision Effects

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This study focuses on truck platoons with heterogeneous masses and aims to minimise overall collision severity by exploring vehicle–position arrangement strategies through a combination of chain collision dynamics modelling and simulation experiments.
Jianqiang Wang, Boyu Tang, Chenglin Liu, Haigen Min, Yali Shi   +4 more
wiley   +1 more source

Analysis of the Impact of Heterogeneous Platoon for Mixed Traffic Flow: Stability and Safety

Systems
To investigate the impact mechanism of different platoon control strategies on mixed traffic flow, this paper evaluates the overall performance of different heterogeneous platoon control strategies in smoothing small traffic disturbances and improving ...
Dan Tu, Yunxia Wu, Le Li, Yangsheng Jiang, Yi Wang, Zhihong Yao   +5 more
doaj   +1 more source

Studying Platoon Dispersion Characteristics under Heterogeneous Traffic in India [PDF]

, 2013
Platoons are created by signalized intersections which control travel patterns of vehicles. It is common for platoons to disperse during normal traffic operations.
Mathew, Jijo, Thomas, Helen, Sharma, Anuj, Devi, Lelitha, Rilett, Laurence   +4 more
core   +1 more source

A Survey: Energy Optimisation Approaches in Urban Rail Systems (AI‐Based and Non‐AI‐Based)

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This article presents a systematic review of energy optimisation strategies for urban rail systems, covering speed profile, timetable, regenerative braking, energy storage and power‐supply optimisation. We synthesise methodological trends and reported energy‐saving performance across AI‐based and non‐AI approaches.
Cakra Adipura Wicaksana, Zhongbei Tian, Stuart Hillmansen   +2 more
wiley   +1 more source