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Vehicles, Volume 6, Issue 2

June 2024 - 22 articles

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Cover Story: This study aims to design and build an excavator with parallel electrical linear actuators and to generate and test PSO-based and PFM-based paths for energy savings, improved digging accuracy, and collision prevention. Computer vision was used for better monitoring and verification. Five experiments were conducted to examine energy conservation in PSO- and PFM-based path generation. The results were compared to highlight the impact of optimal path generation. Comparing the results, PFM-based trajectory generation with integrated contour and PID controllers minimizes error between the designed and excavated profiles. PFM paths also consume less energy than PSO paths. However, integrating contour and PID controllers increases energy use compared to PID alone due to enhanced precision and combined control efforts. View this paper

Articles (22)

  • Article
  • Open Access
5 Citations
2,047 Views
15 Pages

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

  • Joelton Deonei Gotz,
  • José Rodolfo Galvão,
  • Fernanda Cristina Corrêa,
  • Alceu André Badin,
  • Hugo Valadares Siqueira,
  • Emilson Ribeiro Viana,
  • Attilio Converti and
  • Milton Borsato

30 April 2024

Retired batteries pose a significant current and future challenge for electric mobility due to their high cost and the need for a state of health (SOH) above 80% to supply energy efficiently. Recycling and alternative applications are the primary opt...

  • Article
  • Open Access
5 Citations
3,419 Views
18 Pages

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

  • Szilárd Hunor Tóth,
  • Zsolt János Viharos,
  • Ádám Bárdos and
  • Zsolt Szalay

30 April 2024

Enhancing the safety of passengers by venturing beyond the limits of a human driver is one of the main ideas behind autonomous vehicles. While drifting is mostly witnessed in motorsports as an advanced driving technique, it could provide many possibi...

  • Feature Paper
  • Article
  • Open Access
2 Citations
2,078 Views
16 Pages

Mixed Learning- and Model-Based Mass Estimation of Heavy Vehicles

  • Abdurrahman İşbitirici,
  • Laura Giarré and
  • Paolo Falcone

30 April 2024

This research utilized long short-term memory (LSTM) to oversee an RLS-based mass estimator based on longitudinal vehicle dynamics for heavy-duty vehicles (HDVs) instead of using the predefined rules. A multilayer LSTM network that analyzed parameter...

  • Article
  • Open Access
1 Citations
2,138 Views
18 Pages

Using Probe Counts to Provide High-Resolution Detector Data for a Microscopic Traffic Simulation

  • Tobias Veihelmann,
  • Victor Shatov,
  • Maximilian Lübke and
  • Norman Franchi

28 April 2024

Microscopic traffic simulations have become increasingly important for research targeting connected vehicles. They are especially appreciated for enabling investigations targeting large areas, which would be practically impossible or too expensive in...

  • Article
  • Open Access
3 Citations
3,514 Views
19 Pages

Meta-Feature-Based Traffic Accident Risk Prediction: A Novel Approach to Forecasting Severity and Incidence

  • Wei Sun,
  • Lili Nurliynana Abdullah,
  • Puteri Suhaiza Sulaiman and
  • Fatimah Khalid

25 April 2024

This study aims to improve the accuracy of predicting the severity of traffic accidents by developing an innovative traffic accident risk prediction model—StackTrafficRiskPrediction. The model combines multidimensional data analysis including e...

  • Article
  • Open Access
2 Citations
2,604 Views
17 Pages

19 April 2024

In the context of autonomous driving, the fusion of LiDAR and camera sensors is essential for robust obstacle detection and distance estimation. However, accurately estimating the transformation matrix between cost-effective low-resolution LiDAR and...

  • Article
  • Open Access
6 Citations
3,360 Views
18 Pages

11 April 2024

The introduction of connected automated vehicles (CAVs) on freeways raises significant challenges, particularly in interactions with human-driven vehicles, impacting traffic flow and safety. This study employs traffic microsimulation and surrogate sa...

  • Article
  • Open Access
12 Citations
3,184 Views
27 Pages

Enhancing Urban Intersection Efficiency: Utilizing Visible Light Communication and Learning-Driven Control for Improved Traffic Signal Performance

  • Manuela Vieira,
  • Manuel Augusto Vieira,
  • Gonçalo Galvão,
  • Paula Louro,
  • Mário Véstias and
  • Pedro Vieira

4 April 2024

This paper introduces an approach to enhance the efficiency of urban intersections by integrating Visible Light Communication (VLC) into a multi-intersection traffic control system. The main objectives include the reduction in waiting times for vehic...

  • Article
  • Open Access
6 Citations
4,229 Views
15 Pages

31 March 2024

Rolling stock manufacturers are finding innovative structural solutions to improve the quality and reliability of railway vehicles components. Structural optimization processes represent an effective strategy for reducing manufacturing costs, resulti...

  • Article
  • Open Access
2 Citations
3,677 Views
19 Pages

Evaluation of the Energy Equivalent Speed of Car Damage Using a Finite Element Model

  • Paweł Droździel,
  • Tomas Pasaulis,
  • Robertas Pečeliūnas and
  • Saugirdas Pukalskas

30 March 2024

To determine the speed of a vehicle in a collision with body deformation, the kinetic energy input of the vehicle to cause body damage must be estimated. This paper analyzes the methods for estimating the energy equivalent of vehicle damage. A finite...

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