Vehicles (@vehicles_mdpi) 's Twitter Profile
Vehicles

@vehicles_mdpi

Vehicles (ISSN 2624-8921) is #openaccess journal of #transportationscience and #engineering published online by @MDPIopenaccess. IF 2.4, CiteScore 4.1.

ID: 1308670591587631105

linkhttps://www.mdpi.com/journal/vehicles calendar_today23-09-2020 07:33:06

482 Tweet

107 Takipçi

74 Takip Edilen

Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

#highlycitedpaper 🎉 🚗Highly Discriminative Driver Distraction Detection Method Based on Swin Transformer 🔗mdpi.com/2624-8921/6/1/6 The author proposes ST-HDFL—a model combining Swin Transformer with a high-discrimination feature strategy #driver #DeepLearning #RoadSafety

#highlycitedpaper 🎉

🚗Highly Discriminative Driver Distraction Detection Method Based on Swin Transformer

🔗mdpi.com/2624-8921/6/1/6

The author proposes ST-HDFL—a model combining Swin Transformer with a high-discrimination feature strategy
#driver #DeepLearning #RoadSafety
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

📢The submission deadline of the Special Issue "The Application of Deep Learning in Intelligent Vehicle Perception Systems" was extended to 30 April 2026. #perception #deeplearning #vehicles Read the latest publications: mdpi.com/journal/vehicl…

📢The submission deadline of the Special Issue "The Application of Deep Learning in Intelligent Vehicle Perception Systems" was extended to 30 April 2026.
#perception #deeplearning #vehicles

Read the latest publications: mdpi.com/journal/vehicl…
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

🚗#Personalized Driving Styles in Safety-Critical Scenarios for Autonomous #vehicles : An Approach Using Driver-in-the-Loop Simulations Free read➡️mdpi.com/2624-8921/5/3/… The author tests personalized control in high-speed double lane changes.

🚗#Personalized Driving Styles in Safety-Critical Scenarios  for Autonomous #vehicles : An Approach Using Driver-in-the-Loop  Simulations

Free read➡️mdpi.com/2624-8921/5/3/…

The author tests personalized control in high-speed double lane changes.
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

#highlycitedpaper #MDPIVehicles Enhancing #CFD Predictions with Explainable Machine Learning for #Aerodynamic Characteristics of Idealized Ground #Vehicles Explore: mdpi.com/2624-8921/6/3/… #MachineLearning #Automotive

#highlycitedpaper #MDPIVehicles

Enhancing #CFD Predictions with Explainable Machine  Learning for #Aerodynamic Characteristics of Idealized Ground #Vehicles

Explore: mdpi.com/2624-8921/6/3/…

#MachineLearning #Automotive
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

🔧 Simplifying air #bearing simulations! ⚙️ Modelling and Simulation of #Aerodynamic Cylindrical Bearings Using ANSYS #Hydrodynamic Bearing Element Types Free read: mdpi.com/2624-8921/5/3/…

🔧  Simplifying air #bearing simulations!

⚙️ Modelling and Simulation of #Aerodynamic Cylindrical  Bearings Using ANSYS #Hydrodynamic Bearing Element Types

Free read: mdpi.com/2624-8921/5/3/…
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

#highlycitedpaper #electricvehicles 🔋"Random Forest-Based Grouping for Accurate #SOH Estimation in Second-Life #Batteries " ♻️Fast SLB SOH tool boosts retired #EV #battery reuse. ➡️Explore: mdpi.com/2624-8921/6/2/… #MachineLearning

#highlycitedpaper #electricvehicles  

🔋"Random Forest-Based Grouping for Accurate #SOH  Estimation in Second-Life #Batteries "

♻️Fast SLB SOH tool boosts retired #EV #battery reuse. 

➡️Explore: mdpi.com/2624-8921/6/2/… 

#MachineLearning
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

Editorial of Special Issue "Advanced Storage Systems for Electric Mobility". 🥳8 submissions → 5 publications, all auto-focused (most #battery management research lives here!). Read the overview: mdpi.com/2624-8921/6/3/… #AutomotiveResearch #BatteryManagement

Editorial of Special Issue "Advanced Storage Systems for Electric Mobility".

🥳8 submissions → 5 publications, all auto-focused (most #battery management research lives here!). 

Read the overview: mdpi.com/2624-8921/6/3/…

#AutomotiveResearch #BatteryManagement
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

Meet Us at the 4th International Conference on Sustainable #energy Development, 28–30 November 2025, Beijing, China mdpi.com/about/announce…

Meet Us at the 4th International Conference on Sustainable #energy  Development, 28–30 November 2025, Beijing, China 
 
mdpi.com/about/announce…
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

🚂 An Estimation of the #Energy Savings of a Mainline #Diesel Locomotive Equipped with an Energy Storage Device Storage recovers 64% traction energy & cuts #fuel use by ~50%—no diesel efficiency change. Read: mdpi.com/2624-8921/6/2/…

🚂 An Estimation of the #Energy Savings of a Mainline #Diesel Locomotive Equipped with an Energy Storage Device

Storage recovers 64% traction energy & cuts #fuel use by ~50%—no diesel efficiency change. 

Read: mdpi.com/2624-8921/6/2/…
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

🚗 Sim-to-Real Application of Reinforcement Learning Agents for Autonomous, Real Vehicle Drifting Read: mdpi.com/2624-8921/6/2/… #AutonomousDrifting #ReinforcementLearning

🚗 Sim-to-Real Application of Reinforcement Learning Agents for Autonomous, Real Vehicle Drifting

Read: mdpi.com/2624-8921/6/2/…

#AutonomousDrifting #ReinforcementLearning
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

🛻 Enhanced #Energy Efficiency through #Path Planning for Off-Road Missions of Unmanned Tracked #ElectricVehicle The modified EEPP algorithm cuts energy use by 6.93% (extends range 7.45%) vs A*—tuned to off-road tracked #EV dynamics! Read: mdpi.com/2624-8921/6/3/…

🛻 Enhanced #Energy Efficiency through #Path Planning for Off-Road Missions of Unmanned Tracked #ElectricVehicle

The modified EEPP algorithm cuts energy use by 6.93% (extends range 7.45%) vs A*—tuned to off-road tracked #EV dynamics! 

Read: mdpi.com/2624-8921/6/3/…
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

#highlycitedpapers #UAVs 🚁 Planning Integrated Unmanned Aerial Vehicle and Conventional #Vehicle Delivery Operations under Restricted Airspace: A Mixed Nested Genetic Algorithm and Geographic Information System-Assisted Optimization Approach 👁‍🗨Read: mdpi.com/2624-8921/5/3/…

#highlycitedpapers #UAVs 

🚁 Planning Integrated Unmanned Aerial Vehicle and Conventional #Vehicle Delivery Operations under Restricted Airspace: A Mixed Nested Genetic Algorithm and Geographic Information System-Assisted Optimization Approach

👁‍🗨Read: mdpi.com/2624-8921/5/3/…
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

#HotPapers #vehicles 🚛 A Non-Linear Optimization Model for the Multi-Depot Multi-Supplier Vehicle Routing Problem with Relaxed Time Windows Read: mdpi.com/2624-8921/6/3/… #LogisticsOptimization #VehicleRouting

#HotPapers #vehicles 
🚛 A Non-Linear Optimization Model for the Multi-Depot Multi-Supplier Vehicle Routing Problem with Relaxed Time Windows

Read: mdpi.com/2624-8921/6/3/…

#LogisticsOptimization #VehicleRouting
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

🚗✈️ Multi-Depot #electric Vehicle–Drone Collaborative-Delivery Routing Optimization with Time-Varying Vehicle Travel Time Collab EV-#drone routing boosts last-mile low-carbon logistics—validated to slash costs via time-aware optimization! Explore: mdpi.com/2624-8921/6/4/…

🚗✈️ Multi-Depot #electric Vehicle–Drone Collaborative-Delivery Routing Optimization with Time-Varying Vehicle Travel Time

Collab EV-#drone routing boosts last-mile low-carbon logistics—validated to slash costs via time-aware optimization! 

Explore: mdpi.com/2624-8921/6/4/…
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

🛢️ Mitigation of Electrical Discharge Damage in Electric #Vehicle #Bearings: Comparative Study of Multi-Walled Carbon Nanotubes and Alumina Nanoparticles in Lubricating Grease #electriccars MWCNTs outperform Al₂O₃,slashing wear & vibration! Explore: mdpi.com/2624-8921/7/1/…

🛢️ Mitigation of Electrical Discharge Damage in Electric #Vehicle #Bearings: Comparative Study of Multi-Walled Carbon Nanotubes and Alumina Nanoparticles in Lubricating Grease

#electriccars   MWCNTs outperform Al₂O₃,slashing wear & vibration!

Explore: mdpi.com/2624-8921/7/1/…
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

#ICE ⚙️ Hybrid LSTM + 1DCNN Approach to Forecasting Torque Internal Combustion #Engines This hybrid model predicts engine torque with <2% average error—outperforms others, even for variable signals! Read: mdpi.com/2624-8921/5/3/…

#ICE ⚙️ Hybrid LSTM + 1DCNN Approach to Forecasting Torque Internal Combustion #Engines

This hybrid model predicts engine torque with &lt;2% average error—outperforms others, even for variable signals! 

Read: mdpi.com/2624-8921/5/3/…
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

Hot Paper by Alessio Cascino, Enrico Meli , Andrea Rindi. 🚋 Development of a Design Procedure Combining Topological Optimization and a Multibody Environment: Application to a Tram Motor Bogie Frame Read: mdpi.com/2624-8921/5/4/…

Hot Paper by Alessio Cascino, <a href="/Enrico_Meli/">Enrico Meli</a>
, Andrea Rindi.

🚋 Development of a Design Procedure Combining Topological Optimization and a Multibody Environment: Application to a Tram Motor Bogie Frame

Read: mdpi.com/2624-8921/5/4/…
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

#RailwayVibration #TractionRod🚂 The Effect of the Traction Rod on the Vertical Vibration Behavior of the Railway Vehicle Carbody Read: mdpi.com/2624-8921/5/4/… Stiffness can spike ride comfort index over 300% at high speeds, while damping cuts it by 10%.

#RailwayVibration #TractionRod🚂 The Effect of the Traction Rod on the Vertical Vibration Behavior of the Railway Vehicle Carbody

Read: mdpi.com/2624-8921/5/4/…
 
Stiffness can spike ride comfort index over 300% at high speeds, while damping cuts it by 10%.
Vehicles (@vehicles_mdpi) 's Twitter Profile Photo

📢Vehicles Best PhD Thesis Award—Winner Announced mdpi.com/about/announce… This award has been granted to the following paper: “Artificial Drivers for Online Time-Optimal #Vehicle Trajectory Planning and Control” by Dr. Mattia Piccinini (Technical University of Munich, Germany)

📢Vehicles Best PhD Thesis Award—Winner Announced mdpi.com/about/announce… 

This award has been granted to the following paper: “Artificial Drivers for Online Time-Optimal #Vehicle Trajectory Planning and Control”
by Dr. Mattia Piccinini (Technical University of Munich, Germany)