Chang Wang

Orcid: 0000-0003-3531-1215

Affiliations:
  • Chang'an University, School of Automobile, Xi'an, China


According to our database1, Chang Wang authored at least 28 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

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

A driver's car-following behavior prediction model based on multi-sensors data.
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
A Framework for Turning Behavior Classification at Intersections Using 3D LIDAR.
IEEE Trans. Veh. Technol., 2019

Behavior analysis of distant vehicles using LIDAR point cloud.
Clust. Comput., 2019

Design of an Energy-Saving Driving Strategy for Electric Buses.
IEEE Access, 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


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