An industry 4.0 framework towards an integrated smart traffic management solution

• Main Authors: De Ocampo, Beata Maria F., Clark, Eppie E., de Pedro, Marvin
• Format: text
• Published: Animo Repository 2021
• Subjects: Traffic congestion—Management; Industry 4.0; Intelligent transportation systems; Business Administration, Management, and Operations; Multi-Vehicle Systems and Air Traffic Control
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/9473
• Institution: De La Salle University

Traffic congestion, a burden of many cities worldwide, is essentially viewed as a road capacity issue. Solutions developed were building more roads, improving public transport and, employing strategies related to transportation demand management (TDM) and technology. In a UN SDG 2030 report on transport, the problem persists because of the fragmented approach with each sector working in silos. The research question is: What framework provides a micro and macro view of traffic management which incorporates both technical and social elements towards an integrated solutions development? The purpose of this grounded theory research is framework development. The methodology employed the qualitative content analysis framework by Elo et al (2014). Data collection was done through searching Google Scholar for Industry 4.0-based frameworks. The sampling strategy focused on journals with themes related to cyberphysical-social systems, cloud computing and Internet of Things which are related to smart traffic solutions. Categorization and abstraction were done on various congestion solutions and matched to frameworks collected. The resulting framework was adapted from the 6-level manufacturing control systems by Johannsen (2007) as cited by Di Nardo et al (2020). In Level 0, the basic elements of traffic management namely, the traffic light, traffic enforcers and traffic signs, are treated separately. In Level 1, traffic devices are for monitoring and recording purposes only. In Level 2, digital traffic devices are networked together for smart traffic control. In Level 3, operations management is done via interaction of technology and human elements through real-time data integration. In Level 4 is the integrated planning and coordination where solutions development is collaborated and planned across various sectors. In Level 5 is the general traffic management governance towards enforcement, education & engineering. Recommendations for further studies include solutions development considering driver behavior and the involvement of multiple stakeholders as part of CSR activities.