LAPSE:2023.32192
Published Article
LAPSE:2023.32192
Proposed Management System and Response Estimation Algorithm for Motorway Incidents
April 20, 2023
Motorway’s personnel tasks management and incidents monitoring, and response are critical processes that contribute to the motorway’s orderly and smooth operation. Existing management practices utilize SCADA technologies that control motorway actuator systems as well as various means of personnel communications mobile technologies. Nevertheless, contemporary motorways lack a unified incident response solution that tracks resources, sends notification alerts when necessary, and automates incident resolution. This paper presents a new holistic and unified management and response system called Resources Management System (RMS). This system was originally implemented as a generic motorways resources management system for the EGNATIA ODOS motorway that uses it in Greece. The implemented RMS provides real-time resources tracking, personnel utilization algorithms, and data mining capabilities towards incident confrontation. It operates as an incidents’ collection and resources central communication interface. It is also capable of incident response and completion time categorization; real-time tunnel exits sensory monitoring, staff mobilization, and tracking system. Furthermore, the RMS includes machine learning methodologies and smart agents (bots) for solving the problem of estimating and evaluating the response and completion time of incidents based on previous successful incidents’ confrontations.
Keywords
data mining, distributed sensory systems, incident response systems, IoT, knowledge mining, location management, Machine Learning, Resources Management Systems, smart algorithms
Suggested Citation
Kontogiannis S, Asiminidis C. Proposed Management System and Response Estimation Algorithm for Motorway Incidents. (2023). LAPSE:2023.32192
Author Affiliations
Kontogiannis S: Laboratory Team of Distributed Microcomputer Systems, Department of Mathematics, University of Ioannina, 45110 Ioannina, Greece [ORCID]
Asiminidis C: Laboratory Team of Distributed Microcomputer Systems, Department of Mathematics, University of Ioannina, 45110 Ioannina, Greece [ORCID]
Journal Name
Energies
Volume
14
Issue
10
First Page
2736
Year
2021
Publication Date
2021-05-11
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14102736, Publication Type: Journal Article
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LAPSE:2023.32192
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doi:10.3390/en14102736
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Apr 20, 2023
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