Object Detection Models for Transportation Systems
A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Engineering".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 162
Special Issue Editors
Interests: road safety; MLLM; transit; smart cities
2. Australian International Institute of Higher Education, Brisbane 4000, Australia
Interests: artificial intelligence; deep learning; MLLM; road safety; smart cities
Special Issue Information
Dear Colleagues,
Recent advancements in computational engineering and artificial intelligence have greatly enhanced object detection models, particularly for transportation systems. Accurate object detection is crucial in improving traffic safety, optimizing transportation networks, and enabling autonomous vehicle technologies. This Special Issue aims to bring together innovative research that applies computational methods and modeling for detecting and analyzing objects in various transportation contexts. We encourage contributions that explore novel algorithms, data-driven models, and practical applications in transportation systems, as well as comparative studies on the effectiveness of existing approaches.
Topics of interest include, but are not limited to, the following:
- Object detection models for urban and rural transportation systems;
- AI and machine learning techniques in transportation object detection;
- Real-time image and video analysis for traffic monitoring;
- Computational modeling for autonomous vehicle systems;
- Case studies on transportation safety improvements using object detection models.
We look forward to your valuable contributions and hope that this Special Issue will foster meaningful advancements in computational methods for transportation systems.
Dr. Taqwa AlHadidi
Dr. Shadi Jaradat
Dr. Ahmed Jaber
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- object detection
- computational methods
- transportation systems
- autonomous vehicles
- machine learning
- computer vision
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