ResearchSpace :: Browsing by Author "Muronga, Khangwelo"

Browsing by Author "Muronga, Khangwelo"

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An analysis of assessment approaches and maturity scales used for evaluation of information security and cybersecurity user awareness and training programs: A scoping review
(IEEE, 2019-09) Muronga, Khangwelo; Herselman, Martha E; Botha, Adèle; Da Veiga, A
This study aimed to ascertain the types of approaches that are applied in the assessments of information security and cybersecurity user awareness and training programs. The study focused on achieving two objectives. The first objective focused on to find out what measurements are used in the assessment of the effectiveness of information security and cybersecurity user awareness and training programs. The second objective focused on studies that made use of maturity models to measure the progress of these programs. A Scoping Literature Review process was followed to achieve these objectives. The study found that there is a gap in current literature with regards to the assessment of these programs, as only five papers and two maturity models focused on the assessment of these programs. The study further recommends that more studies be conducted in the assessment of these programs, as most researchers are encouraging the use of the programs in the fight against cyber-attacks.
Distracted driver behaviour in South African townships: A roadside observation study
(2019-07) Binda, Phindile L; Muronga, Khangwelo
Driving is an activity which requires full concentration, which means that the driver needs to concentrate on physically controlling the vehicle, mentally making good decisions and at the same time, monitoring the driving environment. One of the safety issues regarding distracted driving is that no matter how well a driver thinks (s)he can drive; a distraction can potentially compromise safe driving. This study observed drivers during their driving task, from the road side at selected locations at public hospitals. The research focused on vehicle drivers at an intersection near Chris Hani Baragwanath Hospital in Soweto and Dr George Mukhari Hospital in Ga-Rankuwa. This paper provides the results of the study and its relevancy to improve road safety in South Africa.
The effectiveness of the naturalistic driving studies in improving driver behaviour
(2017-02) Muronga, Khangwelo
The Naturalistic Driving Studies (NDS) are research methods that have the ability to improve existing methods for collecting data about driver performance and driver behaviour in normal driving conditions. The purpose of this research is to evaluate the effectiveness of the NDS in improving driver behaviour and adherence to road rules by making use of the elements of the theory of planned behaviour as a framework. To achieve the purpose of the study, it was necessary for the research to be conducted in two phases. The first phase of the research involved data collection through questionnaires, to address opinions of the NDS users in relation to its effectiveness since implementation. The second phase involved making use of data already collected by a company operating in the heavy vehicle industry that made use of NDS technology to monitor driver behaviour. Analysis of naturalistic driving data in normal driving conditions provides a possibility of big data sets that can be used to understand the characteristics that could lead to vehicle crashes and/or near crashes. The results of the study showed that the technology used is able to arrive at expected conclusions and set objectives. Making use of the Theory of Planned Behaviour, the study managed to illicit responses from both drivers and management, who both showed that they are happy with the NDS as it provides them with information that can improve driving ability as well as offer security to drivers, as the system also offers warning to prevent or counter high-jacking and theft of cargo. The study also recommends that more organisations should embark on making use of this technology in order to improve road safety. Researchers are also recommended to make use of the data to learn more about driver behaviour so as to use the knowledge to implement effective road safety strategies and initiatives.
Monitoring overloaded vehicles: Improving traffic control centre performance by using management information systems
(South African Transport Conference, 2016-07) Muronga, Khangwelo; Sallie, Ismail M; De Franca, Volanda MP; Nieuwoudt, A
Decision making is an important function of management and to facilitate decision making that is relevant to any organisation, it is imperative that managers have the correct information at the right time. Since the 1990’s, the Transport Systems and Operations research group at the Council for Scientific and Industrial Research (CSIR) started developing a Management Information System to assist road traffic authorities and vehicle load control centres in decision making. A management information system is a combination of devices, software, data and procedures designed to address the collection and processing of information with the aim of providing management with relevant information for decision making purposes. This paper describes a management information system (MIS) developed and implemented in the Western Cape Province since 2006 and recently in KwaZulu-Natal in South Africa, to assist road authorities with heavy vehicle load control.
Naturalistic driving studies in support of road safety research in South Africa
(Southern African Transport Conference, 2019-07) Venter, Karien; Muronga, Khangwelo; Sallie, Ismail M; De Franca, Volanda MP; Kemp, Mauritz J; Botha, Rika; De Saxe, Christopher C; Berman, Robert J; Binda, Phindile L; De Beer, E; Sinclair, M
Internationally, evidence-based research informs the actions and interventions that are successfully implemented in developed countries, aiming for a zero fatality rate. South African progress to reduce the number of fatal road crashes remains slow and traditional approaches to address road safety seems to be ineffective. There is a need for targeted road safety research that informs the design and implementation of road safety interventions. To promote a better understanding of the value that evidence-based road safety research plays in supporting the implementation of initiatives within the Road Traffic Safety Management System (RTSMS), CSIR Built Environment has for the past five years invested a portion of the parliamentary grant into the development of the naturalistic driving studies (NDS) methodology. NDS is a research approach that facilitates a better understanding of the contributory factors and interactions between the environment, human and vehicle. This research paper contributes baseline information regarding the development, application and value of NDS as a road safety research tool.
Naturalistic driving studies: The effectiveness of the methodology in monitoring driver behaviour
(www.satc.org.za, 2017-07) Muronga, Khangwelo; Ruxwana, Nkqubela
Naturalistic Driving Studies (NDS) is a research methodology that has the potential to improve existing approaches for collecting data about driver behaviour and performance in normal driving conditions. Analysis of naturalistic driving data in normal driving conditions provides a possibility of big data sets that can be used to understand the characteristics that lead to vehicle crashes and/or near crashes. The purpose of this study was to evaluate the effectiveness of NDS to improve driver behaviour and adherence to road rules. Making use of the Theory of Planned Behaviour (TPB) as a theoretical framework, the study managed to illicit responses from both drivers and management, in companies where the technology is used, to show that NDS provides the company and drivers with information that can improve driving ability. Overall, the results provide a clear indication that by making use of the data generated through use of NDS, it is possible to identify risky driver behaviour, which can inform the design and implementation of driver improvement projects.
Synthesizing Naturalistic Driving Data: a further review
(SATC, 2016-07) Venter, Karien; Muronga, Khangwelo
The Naturalistic Driving Study (NDS) methodology has in the past decade proven extremely valuable in providing rich contextual information about the driver, the vehicle and driving environment. Internationally the uptake of the methodology is growing and especially more developed countries are employing NDS on larger and grander scales. As the methodology evolves new data challenges necessitate the development of novel approaches to manage and analyse the data. The NDS methodology has been applied twice within the South African context. Large amounts of quantitative and qualitative data were collected and different application software products are currently used to transcribe and analyse the data. The process is extremely resource intensive and working with the data remains a learning curve. Recommendations were put forward in an earlier study toward the management and integration of these Very Large Databases in order to simplify the analyses of the data. This paper provides feedback in terms of the progress made with the implementation of the recommendations as applied in two new investigations that made use of the previously collected material. The findings though indicate that the battle is far from over and concludes with a review of additional strategies and further recommendations for developing an approach to work with these data and databases.
Towards a dedicated transport safety research facility for South Africa
(2023-07) Marole, Busisiwe C; Venter, Karien; Sallie, Ismail M; Muronga, Khangwelo; Kemp, Lana; Kemp, Mauritz; De Franca, Volanda; Dube, Mxolisi; Matsaung, Ntsetsadi; Bosilong, Keolebogile; Malope, Retang K; Mogae, T; Mashaba, Hasane P; Kwange, Boniswa N; Kwange, Mamokgolwane L; Maraga, C; Feikie, M
The establishment of a dedicated CSIR research facility for transport safety has been a topic of discussion for several years. In 2020 the CSIR embarked on a process to establish a facility dedicated to transport safety research to be known as the Transport Safety Lab. The aim is to address transport unsafety by conducting experimental projects that provide insight into the mechanisms and contributory factors that cause risk and incidents in the transport environment. This paper provides feedback regarding progress made with the Transport Safety Lab project to address the Research Development and Innovation (RD&I) gap by enabling experimental research (evidence based and data driven), promoting, and advancing initiatives and opportunities that encourage the use of local data and methodologies in support of local transport safety solutions. In addition, the article provides a review of current experimental projects that support capability development and the building of a portfolio of evidence to be used to display the type of work that the Transport Safety Lab can do. The experimental projects revolve around specific topics that contribute to addressing accidents and incidents and are considered to long-term projects or research programmes that are evidence-based and that will in future inform the development and implementation of relevant, targeted policies, regulations, and interventions to effectively curb transport safety issues responsible for crippling the South African economy.
Towards quantifying road risk: A case of distracted driving
(2018-10) Muronga, Khangwelo; Botha, Rika; Venter, Karien; Sinclair, M
Despite the current road safety situation in South Africa, to date it has been difficult to quantify the degree to which road users in South Africa are at risk of being involved in road traffic crashes. Naturalistic driving studies investigate driver behaviour within the driving context, over a long-term. The expectation is that the behaviour observed over this period of time will be reflective of behaviour over a longer time which will provide insight into factors associated with crash causation, near-misses and incidents. The result is detailed data that gives insight into driver behaviour over a long term. The benefit of this methodology is that in addition to “big” events such as crashes, near-misses and so forth, data pertaining to mostly unreported or seemingly insignificant events is also recoded and available for analysis. This study made use of naturalistic driving data collected from four primary drivers in 2014 to conduct a further analysis of an additional two hours of data previously collected for experienced drivers considering prevalence, type, frequency and duration of distracted driving behaviour in urban areas. The purpose of the exercise was to further expand the use of the NDS methodology by adding additional coders, independently verify the results from coders in order to show that it is possible to quantify and measure unsafe road usage in South Africa.
Towards secure maritime transport in South Africa: An investigation of cybersecurity readiness of organisations
(SATC, 2019-07) Muronga, Khangwelo; Letebele, Mosimanegape O; Binda, Phindile L; Smith-Godfrey, Simone M
Transport is an important sector for the economic development of South Africa. The maritime environment plays a very important role as it sustains other sectors in the economy. A sustainable transport system requires that all systems operate efficiently and continuously with minimum failure. Cyber-attacks are disruptive and may destruct the functions and operations of any sector including that of transport and more specifically maritime transport. This paper provides feedback regarding an investigation which was conducted with maritime transport organisations in South Africa to understand if any cybersecurity measures, policies, strategies etc. are in place and are successfully implemented to prevent cyber-attacks. A systematic literature review and a qualitative content analysis research technique was used to assess the status of maritime organisation¿s ability to identify and prevent such attacks. The results of the study indicate that the South African government has put relevant structures in place to ready the country for cyber-attacks, what is lacking is how these structures are used by organisations. This study also provides a brief overview of the existence of cybersecurity activities in the maritime transport industry of South Africa.

Browsing by Author "Muronga, Khangwelo"

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