Repository logo

Enhancing safe mobility using inclusive intelligent infrastructure management system

dc.contributor.authorAbejide, Samuelen_US
dc.contributor.authorAdedeji, Jacob Adedayoen_US
dc.date.accessioned2025-03-02T09:45:40Z
dc.date.available2025-03-02T09:45:40Z
dc.date.issued2024-07-11
dc.date.updated2025-02-27T07:57:13Z
dc.description.abstractIn 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.en_US
dc.format.extent9 pen_US
dc.identifier.citationAbejide, S. and Adedeji, J.A. 2024. Enhancing safe mobility using inclusive intelligent infrastructure management system. Presented at: 42nd Southern African Transport Conference, Pretoria, South Africa, 8-11 July 2024.en_US
dc.identifier.isbn9780796182456
dc.identifier.urihttps://hdl.handle.net/10321/5818
dc.language.isoenen_US
dc.publisherSouthern African Transport Conferenceen_US
dc.publisher.urihttp://hdl.handle.net/2263/99382en_US
dc.relation.conference42nd Southern African Transport Conference, Pretoria, South Africaen_US
dc.subjectDriver safetyen_US
dc.subjectInclusive intelligent infrastructure management systemen_US
dc.subjectIntelligent systemsen_US
dc.subjectRoad markingsen_US
dc.subjectSafe mobilityen_US
dc.titleEnhancing safe mobility using inclusive intelligent infrastructure management systemen_US
dc.typeConferenceen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Abejide_Adedeji_2024.pdf
Size:
884.06 KB
Format:
Adobe Portable Document Format
Description: