Licentiate-2019, FCGC: updating Thematic Road Maps on road accidents

Graduate of the Cadastre, Geodesy and Constructions Faculty, Dorina Bucatari, under the aegis of prof. Livia Nistor-Lopatenco, has decided, for her bachelor thesis, to update a thematic map on road accidents on the territory of the Republic of Moldova, for the purpose of generating simplified statistics and information on road accidents for the general public.

At the base of the road accident recording system are the hardware and software components, as well as the research on the Moldovan road accident legislation, accompanied by a detailed analysis of the sectors and road segments with the most road accidents and reports issued by the competent bodies, such as the General Police Inspectorate, the National Patrolling Inspectorate of the Republic of Moldova.

In the context of road accidents, the geoinformation systems demonstrate their multiple abilities of collecting, editing and manipulating the data obtained, also providing analytical data and features that can help improve data processing and analysis methods for road accident data. Furthermore, the information helps with developing ways to prevent road accidents and the population can have access to accident information anytime and anywhere. Although it has potential competitors, this map is highly demanded by the population, demonstrating its effectiveness over time.

Any road user, whether a driver, a passenger or a pedestrian, must assume civic responsibility, know the rules, regulations, laws established by the competent authorities, and move around cautiously. Starting from these considerations, the graduate Dorina Bucatari proposed an efficient way to keep up-to-date road traffic record online. By using the functionalities of the geographic database, the database is queried using the attributes of accidents, such as, for example, accidents caused by unsatisfactory weather conditions. Accidents are displayed on the map with conventional signs and colors, generating graphical and textual statistics for accident type differentiation or severity classification. Web stats are based on certain code lines that extract information from the map using Python programming language. The data used for completing the map is taken from sources such as Waze, Telegram channel Infotrafic Moldova and media sources.

The newly licensed graduate has successfully started extensive research within the bachelor’s thesis, with a fruitful experience in this regard. During her university studies, she attended a series of events, including the technical-scientific conferences of students, master students and doctoral students at the 2015 edition, presenting the work “The Fibonacci Spiral. Applications” (guide: Aurelia Popescu) and at the 2016 edition – “Using the laser scanner in construction” (guide: Andrei Iacovlev).