Trends and Prospects in Vehicle System Dynamics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: 30 May 2024 | Viewed by 1101

Special Issue Editors


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Guest Editor
Department of Electrical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden
Interests: vehicle dynamics; vehicle control; automotive control; sustainable transportation; tire modeling

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Guest Editor
Department of Mechanical Engineering, University of California, Merced, CA 95343, USA
Interests: vehicle dynamics; vehicle control; electric vehicles; hybrid-electric vehicles; autonomous driving
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Special Issue Information

Dear Colleagues,

The challenges that the automotive sector is facing concerning the implementation of partial and full-automated driving, in conjunction with the impellent need for electrification, require integrated solutions. To this end, vehicle-to-vehicle interaction and new generations of sensors and control strategies, including AI-based algorithms, should be explicitly considered. This Special Issue focuses on emerging technologies and approaches that will support the current trends and prospects in vehicle dynamics. Aspects of interest may include, but are not limited to, the following: novel modeling approaches of vehicular systems and subsystems, with an emphasis on handling and energy-efficiency applications; innovative control/estimation strategies for individual components, vehicles, and fleets; modeling and control of vehicle-to-vehicle interaction, based on future urban and extra-urban mobility scenarios; model-based and model-free path planning, force allocation strategies, and online energy optimization; and the development and integration of novel sensors and devices supporting vehicle dynamics functionalities. 

Dr. Luigi Romano
Prof. Dr. Basilio Lenzo
Dr. Ricardo De Castro
Guest Editors

Manuscript Submission Information

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Keywords

  • vehicle modeling
  • vehicle dynamics
  • vehicle control
  • vehicle-to-vehicle interaction
  • fleet management
  • path planning
  • force allocation
  • energy optimization
  • next-generation vehicle sensors
  • AI-based vehicle control

Published Papers (1 paper)

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Research

21 pages, 9989 KiB  
Article
Enhancing Autonomous Vehicle Navigation with a Clothoid-Based Lateral Controller
by Aashish Shaju, Steve Southward and Mehdi Ahmadian
Appl. Sci. 2024, 14(5), 1817; https://doi.org/10.3390/app14051817 - 22 Feb 2024
Viewed by 651
Abstract
This study introduces an advanced lateral control strategy for autonomous vehicles using a clothoid-based approach integrated with an adaptive lookahead mechanism. The primary focus is on enhancing lateral stability and path-tracking accuracy through the application of Euler spirals for smooth curvature transitions, thereby [...] Read more.
This study introduces an advanced lateral control strategy for autonomous vehicles using a clothoid-based approach integrated with an adaptive lookahead mechanism. The primary focus is on enhancing lateral stability and path-tracking accuracy through the application of Euler spirals for smooth curvature transitions, thereby reducing passenger discomfort and the risk of vehicle rollover. An innovative aspect of our work is the adaptive adjustment of lookahead distance based on real-time vehicle dynamics and road geometry, which ensures optimal path following under varying conditions. A quasi-feedback control algorithm constructs optimal clothoids at each time step, generating the appropriate steering input. A lead filter compensates for the vehicle’s lateral dynamics lag, improving control responsiveness and stability. The effectiveness of the proposed controller is validated through a comprehensive co-simulation using TruckSim® and Simulink®, demonstrating significant improvements in lateral control performance across diverse driving scenarios. Future directions include scaling the controller for higher-speed applications and further optimization to minimize off-track errors, particularly for articulated vehicles. Full article
(This article belongs to the Special Issue Trends and Prospects in Vehicle System Dynamics)
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