Amanote Research

Amanote Research

    RegisterSign In

Identification of a Longitudinal Human Driving Model for Adaptive Cruise Control Performance Assessment

doi 10.1115/imece2002-32089
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2002

Authors
Kangwon LeeHuei Peng
Publisher

ASMEDC


Related search

Model-Based Predictive Control Implementation for Cooperative Adaptive Cruise Control

U.Porto Journal of Engineering
2018English

Identification and Verification of a Longitudinal Human Driving Model for Collision Warning and Avoidance Systems

International Journal of Vehicle Autonomous Systems
Automotive EngineeringControlElectricalSystems EngineeringElectronic Engineering
2004English

Reinforcement Learning of Adaptive Longitudinal Vehicle Control for Dynamic Collaborative Driving

2008English

Designer Driving: Drivers' Conceptual Models and Level of Trust in Adaptive Cruise Control

International Journal of Vehicle Design
Automotive EngineeringMechanical Engineering
2007English

Neural Network Optimized Model Predictive Multi-Objective Adaptive Cruise Control

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2018English

Robust Cooperative Adaptive Cruise Control Design for Connected Vehicles

2015English

Cooperative Adaptive Cruise Control, Design and Experiments

2010English

Testing an Adaptive Cruise Controller With Coupled Traffic and Driving Simulations

English

Driving Pattern Recognition for Adaptive Hybrid Vehicle Control

SAE International Journal of Alternative Powertrains
Automotive Engineering
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy