Reference health
Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving
31/31 checkable references clean · checked 2026-07-23
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
7 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 31 checked references that resolve
resolves10.1049/iet-cta.2020.0289
Reference‐free approach for mitigating human–machine conflicts in shared control of automated vehicles
resolves10.1016/j.inffus.2009.05.004
Incomplete fuzzy linguistic preference relations under uncertain environments
resolves10.1007/978-3-642-45037-2_22
A Yaw Rate Tracking Control of Active Front Steering System Using Composite Nonlinear Feedback
resolves10.1109/TVT.2019.2956504
Multiobjective Optimization of Lane-Changing Strategy for Intelligent Vehicles in Complex Driving Environments
resolves10.1109/TITS.2017.2756099
Hierarchical Trajectory Planning of an Autonomous Car Based on the Integration of a Sampling and an Optimization Method
resolves10.1109/IVS.2014.6856503
A prediction-based reactive driving strategy for highly automated driving function on freeways
resolves10.1109/IVS.2013.6629577
Optimized fuel consumption trajectories of intelligent vehicles in a segment of road for any lane configuration
resolves10.3390/s19173672
A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles
resolves10.1016/j.sbspro.2011.04.540
Freeway Traffic Oscillations: Microscopic Analysis of Formations and Propagations using Wavelet Transform
resolves10.1109/ITSC.2019.8917392
Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning
resolves10.1016/j.sbspro.2013.05.035
A Multi-commodity Lighthill-Whitham-Richards Model of Lane-changing Traffic Flow
resolves10.1109/TITS.2020.3036984
Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach
resolves10.1109/ACCESS.2020.2964294
A Novel Lane-Changing Decision Model for Autonomous Vehicles Based on Deep Autoencoder Network and XGBoost
resolves10.1016/j.trb.2004.12.001
Increasing the capacity of an isolated merge by metering its on-ramp
resolves10.1177/027836498600500304
Toward Efficient Trajectory Planning: The Path-Velocity Decomposition
resolves10.1109/TIV.2019.2955366
Motion Planning With Velocity Prediction and Composite Nonlinear Feedback Tracking Control for Lane-Change Strategy of Autonomous Vehicles
resolves10.1109/MITS.2021.3065382
Human–Machine Adaptive Shared Control for Safe Driving Under Automation Degradation
resolves10.1109/TIV.2016.2578706
A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles
resolves10.1109/TVT.2020.3040398
An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors
resolves10.1016/j.trc.2014.01.001
Multi-criteria route planning based on a driver’s preferences in multi-criteria route selection
resolves10.1109/ITSC.2017.8317803
Personalization in advanced driver assistance systems and autonomous vehicles: A review
resolves10.1109/ACCESS.2019.2918728
Learning Human-Like Trajectory Planning on Urban Two-Lane Curved Roads From Experienced Drivers
resolves10.1109/TITS.2020.3024655
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
The 7 references without a DOI — listed, not checked
no DOI — not checkedComparison and evaluation of advanced motion models for vehicle tracking
no DOI — not checkedA corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy Ahp and topsis method
no DOI — not checkedMotion planning for urban autonomous driving using bézier curves and MPC
no DOI — not checkedResearch on lane change model for intelligent vehicles
no DOI — not checkedRapidly-exploring random trees: A new tool for path planning
no DOI — not checkedCooperative same direction automated lane changing based on vehicle to vehicle communication
no DOI — not checkedPath and speed planning for smooth autonomous navigation
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-07-23 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
Embed this badge
Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.
<a href="https://citestamp.com/citestamped/10.1109/tvt.2021.3076473"><img src="https://citestamp.com/citestamped/10.1109/tvt.2021.3076473/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.1109/tvt.2021.3076473)