Chang Wang
Orcid: 0000-0003-3531-1215Affiliations:
- Chang'an University, School of Automobile, Xi'an, China
According to our database1,
Chang Wang
authored at least 29 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Veh. Technol., November, 2024
Long and short-term characteristics of motion sickness: a test track investigation in a passenger car.
Cogn. Technol. Work., June, 2024
Driving Maneuver Detection at Intersections for Connected Vehicles: A Micro-Cluster-Based Online Adaptable Approach.
IEEE Trans. Intell. Transp. Syst., February, 2024
What Challenges Does the Full-Touch HMI Mode Bring to Driver's Lateral Control Ability? A Comparative Study Based on Real Roads.
IEEE Trans. Hum. Mach. Syst., February, 2024
Distraction-level recognition based on stacking ensemble learning for IVIS secondary tasks.
Expert Syst. Appl., 2024
2023
Distraction pattern classification and comparisons under different conditions in the full-touch HMI mode.
Displays, July, 2023
Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway.
IEEE Trans. Intell. Transp. Syst., April, 2023
2022
Turning Maneuver Prediction of Connected Vehicles at Signalized Intersections: A Dictionary Learning-Based Approach.
IEEE Internet Things J., 2022
2021
Lane change strategy analysis and recognition for intelligent driving systems based on random forest.
Expert Syst. Appl., 2021
2020
Improving the User Acceptability of Advanced Driver Assistance Systems Based on Different Driving Styles: A Case Study of Lane Change Warning Systems.
IEEE Trans. Intell. Transp. Syst., 2020
Modeling Car-Following Behaviors and Driving Styles with Generative Adversarial Imitation Learning.
Sensors, 2020
Research on a Pedestrian Crossing Intention Recognition Model Based on Natural Observation Data.
Sensors, 2020
Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic.
Sensors, 2020
Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle Experiments.
Sensors, 2020
Human-Like Obstacle Avoidance Trajectory Planning and Tracking Model for Autonomous Vehicles That Considers the Driver's Operation Characteristics.
Sensors, 2020
Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study.
Sensors, 2020
A forward collision warning system based on self-learning algorithm of driver characteristics.
J. Intell. Fuzzy Syst., 2020
EURASIP J. Wirel. Commun. Netw., 2020
A Study on an Anthropomorphic Car-Following Strategy Framework of the Autonomous Coach in Mixed Traffic Flow.
IEEE Access, 2020
Comparison of the Pedestrian Crossing Intention Parameters and Research on Intention Recognition Model Under Different Road Conditions.
IEEE Access, 2020
Factors Influencing the User Acceptance of Automated Vehicles Based on Vehicle-Road Collaboration.
IEEE Access, 2020
2019
IEEE Trans. Veh. Technol., 2019
The Impact of Cognitive Distraction on Driver Perception Response Time Under Different Levels of Situational Urgency.
IEEE Access, 2019
Cognitive Competence Improvement for Autonomous Vehicles: A Lane Change Identification Model for Distant Preceding Vehicles.
IEEE Access, 2019
ADAS Acceptability Improvement Based on Self-Learning of Individual Driving Characteristics: A Case Study of Lane Change Warning System.
IEEE Access, 2019
Improved Car-Following Strategy Based on Merging Behavior Prediction of Adjacent Vehicle From Naturalistic Driving Data.
IEEE Access, 2019
2018
Target Tracking and Classification Algorithm for Adaptive Cruise Control System via Internet Technology.
Wirel. Pers. Commun., 2018