Enhancing safe mobility using inclusive intelligent infrastructure management system

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dc.contributor.author Abejide, S.
dc.contributor.author Adedeji, J.A.
dc.date.accessioned 2024-11-22T09:35:01Z
dc.date.available 2024-11-22T09:35:01Z
dc.date.issued 2024
dc.description Papers presented virtually at the 42nd International Southern African Transport Conference on 08 - 11 July 2024
dc.description.abstract In the dynamic realm of urbanization, smart city development, particularly in relation to transportation infrastructure, is gaining momentum. This study addresses a gap in the current strategies by emphasizing effective management over mere expansion. Managing infrastructure systems is essential given the increasing trend of tech-driven transportation and the vehicle-to-capacity ratio. To maximize the current infrastructure in East London, South Africa, the Inclusive Intelligent Infrastructure Management System (IIIMS) is the suggested solution. For more sophisticated transportation system design, the project combines data-driven approaches with intelligent transportation systems (ITS). Demand management, predictive maintenance, route optimization, and real-time data collection are important components of this approach. By offering information on traffic patterns, hotspots for congestion, and possible conflicts, these initiatives support well-informed decision-making for capacity expansion. Focusing on Oxford Street, a congested area in East London, this research employs the smart city wheel and the 15-minute smart city concept. The IIIMS loop incorporates adaptive hypotheses for safe mobility principles in a specific spatial and temporal context. By examining the elements of an inclusive intelligent transportation system, this study considers telematic technologies, data-driven traffic management, and safe mobility principles. Hypotheses related to private vehicle access, worker safety, citizen well-being, and urbanized infrastructure management are discussed, offering solutions for safe mobility. The proposed framework includes an operational level- of-service (LOS) lane change modification for Oxford Street, promoting flow and reducing congestion. Recommendations should focus on competitive measures for delay-time management, congestion patterns, and hotspot identification, contributing to smart city discourse and emphasizing inclusive intelligent infrastructure management for safe mobility and urban transportation competitiveness.
dc.format.extent 9 pages
dc.format.medium PDF
dc.identifier.uri http://hdl.handle.net/2263/99382
dc.language.iso en
dc.publisher Southern African Transport Conference
dc.rights Southern African Transport Conference 2024
dc.subject East London,South Africa
dc.subject Inclusive Intelligent Infrastructure Systems(IIIMS)
dc.title Enhancing safe mobility using inclusive intelligent infrastructure management system
dc.type Article


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