Intelligent Transportation Systems Ⅱ

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

Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 2479

Special Issue Editors


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Guest Editor
Universidad Carlos III de Madrid, Calle Madrid, 126, 28903 Getafe, Madrid, Spain
Interests: data fusion for intelligent transportation system; computer vision and LiDAR applications
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Intelligent Systems Lab, Universidad Carlos III de Madrid, Calle Butarque 15, Leganés, 28911 Madrid, Spain
Interests: real-time perception systems; computer vision; sensor fusion; autonomous ground vehicles; unmanned aerial vehicles; navigation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Intelligent Systems Lab, Carlos III University of Madrid, Calle Madrid, 126, 28903 Getafe, Madrid, Spain
Interests: intelligent vehicles; perception systems; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Autonomous Mobile & Perception Lab AMPL, Universidad Carlos III de Madrid, 28911 Madrid, Spain
Interests: autonomous vehicles; computer vision; drones
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent advances in information and communication technologies are facilitating substantial improvements in transportation, providing technologies and developments that ensure safer and more efficient mobility. Novel technologies such as the Internet of Things, artificial intelligence, advanced automation, etc. are providing solutions which when applied to the transport industry are creating ground-breaking applications that are challenging the way transport is perceived in the society of 21st century.

Disciplines such as autonomous and connected vehicles, advanced driver assistance systems, computer vision and 3D detection, traffic control, and human factors in intelligent vehicles are examples of how intelligent transportation systems are fostering the development of novel solutions for the transport of the new connected and smart societies.

This Special Issue aims to provide advances on these topics, providing insight into the technologies that are transforming people’s lives. The topics covered include, but are not limited to:

  • LiDAR and 3D sensors technologies;
  • Navigation and localization;
  • Trajectory planning and control;
  • Air, road, rail, and waterway transportation networks and systems;
  • Big Data and naturalistic datasets;
  • Emergency management;
  • Field trials, tests, and deployment;
  • Fleet management;
  • Human factors;
  • Advanced driver assistance systems (ADASs);
  • Autonomous and connected vehicles;
  • Interconnected vehicles and transportation systems;
  • Interoperable multi-modal transportation networks and systems;
  • Logistics;
  • Modelling, control, and simulation algorithms and techniques;
  • Multimodal transportation networks and systems;
  • Sensors, detectors, and actuators;
  • Smart mobility;
  • Traffic control and management;
  • Data fusion;
  • Environment perception;
  • Computer vision.

Prof. Dr. Fernando Garcia Fernadez
Prof. Dr. David Martín Gómez
Prof. Dr. Jose Maria Armingol
Dr. Abdulla Al-Kaff
Guest Editors

Manuscript Submission Information

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Keywords

  • autonomous vehicles
  • perception
  • advanced control
  • deep learning
  • data fusion
  • intelligent transportation systems
  • transport
  • computer vision

Published Papers (1 paper)

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Research

15 pages, 802 KiB  
Article
AGVs Collision and Deadlock Handling Based on Structural Online Control Policy: A Case Study in a Square Topology
by Waldemar Małopolski and Jerzy Zając
Appl. Sci. 2021, 11(14), 6494; https://0-doi-org.brum.beds.ac.uk/10.3390/app11146494 - 14 Jul 2021
Cited by 3 | Viewed by 1887
Abstract
Based on the novel structural online control policy (SOCP) deadlock handling method presented in our previous work, we have shown that for a specific group of use cases it is possible to relax the requirements of the method, providing an improvement in its [...] Read more.
Based on the novel structural online control policy (SOCP) deadlock handling method presented in our previous work, we have shown that for a specific group of use cases it is possible to relax the requirements of the method, providing an improvement in its performance. In the present work, a new type of deadlock-free zone was introduced which enabled the method to improve its efficiency for both bidirectional as well as unidirectional and mixed path systems. For bidirectional systems, a beneficial outcome was obtained by approaching the global problem solution using sequentially solved local problems. For unidirectional and mixed systems, on the other hand, this paper introduces a condition that allows verification of the feasibility of performing process reservations in a staged manner. The fulfillment of this condition means that there is a possibility of obtaining higher efficiency of the transportation system. The effectiveness of the proposed approaches has been verified by simulations. Their results were compared with the results of the original method resulting in a significant improvement. Full article
(This article belongs to the Special Issue Intelligent Transportation Systems Ⅱ)
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