Results 101 to 110 of about 10,430,160 (207)
Car-following Characteristics of Adaptive Cruise Control from Empirical Data
, 2020 Computer-driven vehicles will behave differently from human-driven vehicles due to changes in perception abilities, precision control, and reaction times.
Goodall, Noah J. +3 more
core +1 more source
88th Annual Meeting of the Meteoritical Society 2026: Abstracts
Meteoritics &Planetary Science, Volume 61, Issue S1, Page S48-S551, August 2026.
wiley +1 more source
Analysis of an ACC System for Sliding Mode and MPC under Transitional Manoeuvers [PDF]
Mehran University Research Journal of Engineering and Technology, 2012 Two different control algorithms, sliding mode and MPC (Model Predictive Control) are employed to analyse the performance of a linear vehicle model equipped with an ACC (Adaptive Cruise Control) system.
Zeeshan Ali Memon +2 more
doaj
ComputersThe combination of connectivity and automation allows connected and autonomous vehicles (CAVs) to operate autonomously using advanced on-board sensors while communicating with each other via vehicle-to-vehicle (V2V) technology to enhance safety ...
Parisa Ansari Bonab, Arman Sargolzaei
doaj +1 more source
U ovom završnom radu opisan je koncept rada te je izrađena simulacija prilagodljivog tempomata u Matlab-u. Prilagodljivi tempomat je uređaj koji služi kao sustav potpore vozaču te na taj način osigurava sigurnost vozila te smanjuje mogućnost od ...
Grbeš, Marko
core +2 more sources
OTFS-Assisted Sensing Adaptive Cruise Control for Highways: A Reinforcement Learning Approach
IEEE Open Journal of Vehicular TechnologyIn this paper, we propose a novel channel estimation approach and driving decision method for adaptive cruise control (ACC) systems for vehicular networks, leveraging the properties of deep learning, reinforcement learning, and orthogonal time frequency ...
Yulin Liu +3 more
doaj +1 more source
Scientific Journal of Silesian University of Technology. Series TransportThe addition of Adaptive Cruise Control (ACC) to vehicles enables automatic speed adjustments based on traffic conditions after the driver sets the maximum speed, freeing them to concentrate on steering. This study is dedicated to the development of a passenger car ACC system using Deep Reinforcement Learning (DRL). A critical aspect of this ACC system
Ali RIZEHVANDI, Shahram AZADI
openaire +2 more sources
ADAPTIVE CRUISE CONTROL: DESIGN AND SIMULATION
openIn questa tesi è stato studiato il diverso comportamento di due sistemi di Adaptive Cruise Control. Lo scopo è stato quello di fornire una panoramica generale di entrambi gli approcci, evidenziando anche le principali differenze.
BONIN, ANDREA
core
Model-Based Adaptive Cruise Control With Real-Time Hardware Validation in Stop-and-Go Traffic
IEEE AccessStop-and-go traffic with the increased risk of low-speed rear-end collisions is a challenging control problem. Frequent throttle-brake switching in low-speed conditions with added actuator delays often leads to oscillatory behavior in conventional ...
Sai Santhosh Rao Kotha +3 more
doaj +1 more source