|The Car Carbon Emission Analyzing System aids federal authorities in making decisions aimed at curbing car carbon pollution as an effort to mitigate climate change in the country. This project was developed because the various organizations involved with policy implementation on car carbon emissions go through a long and tedious process collecting and analyzing the necessary information required to guide them in decision making. Due to the length and tediousness of these processes, data collection is conducted irregularly and under very long intervals. Even after data is acquired, follow-up on policy adherence is equally tedious, this leads to reluctance on policy follow-up hence limited relevancy of policies developed.
This report details the procedures, methodology and activities that we (the project development team members) used to see the development of our project to a successful completion.
We used mostly questionnaires to get information from the respondents due to the standard Operating Procedures in line with the Covid-19 guidelines and regulations. We collected data from three Government Agencies within the country, concerned with policy development and environmental welfare in relation to car carbon emission, namely, National Environment Management Authority (NEMA), Ministry of Works and Transport, Uganda Revenue Authority (URA).
We analyzed the collected data using SPSS. The project was designed using Data Flow Diagrams (DFDs) for the process model and Entity Relationship Diagrams (ERDs) for the data model. Implementation of the project was carried out using technologies that included; Hypertext Markup Language (HTML) for the interfaces, cascading style sheet (CSS) for styling the interfaces, bootstrap for responsiveness, Hypertext Preprocessor (PHP) connecting the database and the interfaces, MySQL for the database, Arduino Uno to coordinate operations in the tool used to capture car carbon emissions and share the collected results. In conclusion we were able to attain the project objectives and establish its effectivity. We therefore recommend usage of the system to guide decisions on car carbon emission.