SLIIT International Conference on Engineering and Technology [SICET]

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SLIIT International Conference on Engineering and Technology is organized by the Faculty of Engineering. SICET welcomes submissions from various disciplines, focusing on emerging trends in Engineering, Technology, and Applied and Natural Sciences. The conference will encompass research in theory, practical applications, and education. This event offers a unique platform for academics, student researchers, and industry practitioners to present innovative ideas and engage with professionals from diverse engineering fields

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Author: search.filters.author.Amarasingha, NSubject: search.filters.subject.Road safety

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    Social Entrepreneurship in Road Safety and Traffic Management
    (SLIIT, Faculty of Engineering, 2024-10) Manage, S.I.S; Amarasingha, N
    The objective of this research endeavour was to investigate the impact of social entrepreneurship on traffic management and road safety. Social entrepreneurship provides a novel approach to tackling road safety and traffic management, which are both critical issues that impact communities globally. In addition to identifying innovative social entrepreneurial initiatives that have been implemented in the field of road safety and traffic management, the study seeks to identify the attributes of organizations that have made contributions to road safety and traffic management. The study aims to investigate the ways in which social entrepreneurship initiatives contribute to the enhancement of traffic management systems and road safety measures. It will specifically assess the effects, efficacy, and potential for scalability and sustainability of these initiatives. It is anticipated that this research will provide insights into how social entrepreneurship can be utilised to effectuate social change in the domains of road safety and traffic management, thereby bridging the knowledge divide regarding the potential of social entrepreneurship in these specific areas. By means of qualitative research methodologies, such as interviews and case studies, social entrepreneurial initiatives in Sri Lanka's road safety and traffic management are analysed. The research also examines the potential influence of collaborations among governments, social entrepreneurs, and other relevant parties on the social dimension of traffic management and road safety. The results of this research have the potential to provide valuable insights for social entrepreneurs, policymakers, and practitioners regarding efficacious approaches to enhance traffic management and promote road safety. The primary objective of this research is to make a scholarly contribution to the domain of social entrepreneurship through an examination of its capacity to generate social change in the crucial sectors of road safety and traffic management.
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    PublicationOpen Access
    Investigating a method for rating Sri Lankan roads through identifying the factors affecting road safety
    (SLIIT, 2022-02-11) Amarasingha, N; Ramanayake, D. M. S
    Road safety assessment is imminent to reduce road accidents in Sri Lanka. The existing road safety assessments in other countries are inapplicable to Sri Lankan Road conditions as there are significant differences between the road conditions of Sri Lanka and other countries. This study aims to identify the governing roadside elements which are influential to the cause of accidents and can be used for road star rating. The study was conducted in three districts of Sri Lanka: Anuradhapura, Polonnaruwa and Kurunegala. The data for road characteristics were obtained through the Google Earth Web engine whereas accident data were collected from Sri Lanka Police. The variables such as road condition, road length, road width, delineation, shoulder condition, footpath, vehicle parking length, road divide status, roadside objects length, number of lanes, number of intersections, number of pedestrian crossings, and number of bus bays were analyzed to develop a Negative Binomial regression model considering the number of accidents as the dependent variable. The results reveal that six variables: number of lanes, road condition, number of intersections, road divide status, road section length and width of lane are significant towards the occurrence of accidents. Moreover, the results demonstrate the relationship between the road characteristics and the accident number which is crucial in road designing in order to reduce road accidents. The findings affirm the possibility in developing a road safety rating mechanism for Sri Lankan streets to standardize the road network with the international standards while enhancing the road conditions with reflecting to the required safety levels.