Faculty of Computing and Informatics Department of Software Engineering Title: Leveraging Internet of Things to Improve Traffic Management in Windhoek Date: 07th June 2024 By 220079447-João Julia Luzolo Supervisor: Dr. Simon Muchinenyika 2 Faculty of Computing and Informatics Department of Software Engineering Outline 1. 2. 3. 4. 5. 6. 7. 8. 9. Introduction/Background Problem Statement Research Objectives and Questions Preliminary Literature Review Research Methodology Limitations, Delineation, Assumptions Timeline Conclusion References 3 Introduction/Background of the study What is IoT ? Interconnected network Different devices and technologies Communicate over the internet (Gillis, A.,2021). 4 Introduction/Background of the study cont. Traffic Management Population Increase 2.1 million - 3,022,401 in last 12 years(Namibia Statistics Agency, 2024 ) Road Safety Road Traffic Accidents(RTAs) 80% of RTAs caused by drivers’ behaviours (Shaduka, 2018) Traffic Congestion This alludes to increase in number of vehicles on the road, slower speed and longer trip time ( Caves, 2004) 5 Problem Statement Description of the problem Traffic congestion has become more and more evident in the city of Windhoek. Commuters and delivery drivers are the most affected by the traffic congestion (!hoaës, 2013). Increase in trips durations Windhoek road infrastructure, which is not being able to accommodate the increasing population and has led to traffic congestion (Staffer, 2023). Better Traffic Management through IoT 6 Preliminary Literature Review IoT has so much potential to optimize daily operations and provide system automations that are effective and sustainable (Sujatha et al., 2023). Sensors (such as OBD sensor, RADAR sensor, LIDAR sensor) could be used to predict and prevent road accidents (Sohail et al., 2023). In this reviewed study, Sadhukhan and Gazi (2018) have addressed traffic congestion issues through a traffic congestion management system that is IoT based, it detects the density of the traffic and based on the data it determines how long and when a specific traffic light should be green. 7 Research Objectives To Leverage IoT to improve the traffic management in Windhoek. To establish the existing IoT technologies used in traffic management. To Evaluate these Technologies to see which one of those apply for Windhoek. To design and evaluate a solution for better traffic management in Windhoek. 8 Research Questions How to Leverage IoT to improve the traffic management in Windhoek? What are the existing IoT technologies used in traffic management? Which of this technologies can be used in Windhoek? How to design and evaluate a solution for better traffic management in Windhoek? 9 Research Methodology Design research methodology will be used Data collection Study participants will be selected through convenience sampling. Data analysis: Textual Analysis through Voyant tools. Method Limitation: Focus on Literature review. 10 Limitations/Delineation Study focus on city of Windhoek Traffic Management Focus on IoT for better Traffic Management with current roads infrastructure. Assumptions Sensors present on roads of Windhoek Car on the road has some sensors Driver in the car has a smart phone 11 Timeline No. Task to be completed Task assigned to Target Date 1 Development of the research proposal deliverable 1 João J Luzolo (researcher) guided Dr. 18 Apr 2024 Simon Muchinenyika (Supervisor) 2 Development of the research proposal deliverable 2 João J Luzolo (researcher) guided Dr. 22 MAY 2024 Simon Muchinenyika (Supervisor) 3 Present proposal, and submit for approval. João J Luzolo (researcher) guided Dr. 31 MAY 2024 Simon Muchinenyika (Supervisor) 4 Request for permission from the ministry of Work João J Luzolo Aug 2024 and Transport for conduction of interviews 5 Request for permission from the Roads Authority João J Luzolo Aug 2024 João J Luzolo Aug- Sep 2024 for conduction interviews 6 Data collection 7 Data Analysis and report writing João J Luzolo Oct 2024 8 Final research paper and presentation Submission. João J Luzolo Nov 2024 12 Conclusion Namibia has experienced an increase in population and the city of Windhoek has the highest population. The infrastructure of the roads in city of Windhoek have not been able to accommodate the increasing number of cars in Windhoek and this has led to a traffic congestion. This study will investigate how the use of IoT can help improving the traffic management in the city of Windhoek, as well as reducing the traffic congestion on the roads. 13 References !hoaës, I. (2013, February 14). Namibia: Traffic Congestion Overwhelms Windhoek. NEW ERA. Retrieved April 18, 2024, from allafrica.com: https://allafrica.com/stories/201302141122.html Caves, R. W. (2004). Encyclopedia of the City. Routledge, p. 141 Gillis, A. (2021). "What is internet of things (IoT)?". IOT Agenda. Retrieved 17 August 2021 Namibia Statistics Agency (2024, March 13). Release of 2023 Population and Housing Census Preliminary Report. MEDIA RELEASE , 2. Sadhukhan P. and Gazi F. (2018, February 20). An IoT based Intelligent Traffic Congestion Control System for Road Crossings. DOI:10.1109/IC3IoT.2018.8668131 SHADUKA E. (2023, October 05). FACTORS ASSOCIATED WITH ROAD TRAFFIC ACCIDENTS AMONG YOUNG DRIVERS IN KHOMAS REGION, NAMIBIA. Retrieved from https://repository.unam.edu.na/bitstreams/11e4b7a66876-4695-a2d9-c6ba2ce30126/download Sohail A. et al (2023, February 1). Data-driven approaches for road safety: A comprehensive systematic literature review. ScienceDirect, 158(105949), p. 1-46 Sujatha A, S. R. (2023, 10 05). Traffic Congestion Detection and Alternative Route Provision Using Machine Learning and IoT-Based Surveillance. Journal of Machine and Computing. Staffer, N. (2023, November 3). Windhoek’s Road Infrastructure Concerns Top Meeting Agenda. 14