Open Access
Research Paper
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Paper Title

Smart Traffic Management Systems for Accident Reduction in Urban Intersections of Kampala

Article Identifiers

Registration ID: IJNRD_309486

Published ID: IJNRD2509129

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Keywords

Smart traffic management, road safety, urban intersections, adaptive traffic signals, Kampala, accident reduction

Abstract

Background Kampala's rapid urbanization has been associated with growing traffic congestion and accident occurrences at major intersections although conventional management measures have been ineffective in addressing safety issues. Smart traffic management systems that utilize adaptive signal control, surveill & monitoring processes offer the potential to improve road safety and decreased accidents. This study evaluated public perceptions, experiences and awareness of the potential to develop smart and safe management systems to improve intersection safety. Methods A cross-sectional survey was conducted with 1,334 respondents from frequent users of the roads in Kampala, which included drivers, pedestrians, cyclists and public transport operators. Data were collected with a structured questionnaire including a section on demographics, a section on driving and travelling behaviour, experiences of accidents, perceptions of smart traffic technologies, and suggestions to improve safety. Descriptive statistics were used to summarize the frequencies and proportion while chi-square tests used to assess the associations between the socio-demographic factors and perception of smart traffic systems. Results The majority of the 1,334 respondents (62%) had seen at least one accident at an intersection in the last year, with the most common being vehicle–pedestrian (38%) and vehicle–boda-boda (31%) collisions. More than 70% of respondents considered over-speeding, running red-lights, and low enforcement of laws, among other factors, as the leading causes of accidents at intersections. Awareness of smart traffic management systems was considered moderate at (54%); however, the respondents indicated strong endorsements for the consideration of adaptive traffic lights (68%), CCTV (61%) and pedestrian countdown timers (57%) as interventions for safety. There was a relatively low satisfaction with existing traffic management systems (73% expressed being dissatisfied) and cost and vandalism were major barriers to the adoption of smart systems. Conclusion The study indicates that there is broad awareness of and acknowledgement of the safety challenges posed by intersections in Kampala and there is strong endorsement for the addition of smart traffic management systems. Adaptive signals, surveillance technologies and pedestrian systems, or a combination of them, could enable intersection users to reduce their risk of accidents. For this to occur, the study indicates that there are clearly identifiable challenges related to costs, government support and equipment security that still need to be resolved. There also needs to be more reinforcing policy and public awareness campaign to ease the implementation of smart traffic management systems.

How To Cite (APA)

Kisembo Chrispas, Dr. Stephen Monday, SHU-ACHET Daniel Gimbason, Ruby S. Gibson, & Anuna Nilam (September-2025). Smart Traffic Management Systems for Accident Reduction in Urban Intersections of Kampala. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(9), b317-b325. https://ijnrd.org/papers/IJNRD2509129.pdf

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Other Publication Details

Paper Reg. ID: IJNRD_309486

Published Paper Id: IJNRD2509129

Research Area: Science and Technology

Author Type: Indian Author

Country: Fategarh Sahib, Punjab, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2509129.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2509129

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Publication Timeline

Paper Submission
13-09-2025
Peer Review
Through Scholar9.com Platform
Paper Acceptance
21-09-2025
Paper Publication
24-09-2025

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