ISSN: 2490-3477

E-ISSN: 2490-3485

TTTP

Traffic and Transport Theory and Practice

Journal for Traffic and Transport Research and Application

Vol. 7 No. 2 (2022): TTTP - APEIRON

Jaroslav Lupačov, Željko Stanković

Artificial intelligence in insurance companies

Original scientific paper

DOI: 10.7251/JTTTP2202077L

Abstract

In this article given is the analysis of the development of artificial intelligence- AI in insurance companies, which has caused the execution of the following tasks: analysis of the role and significance of artificial intelligence in insurance;description of software tools in insurance; description of implementation of artificial intelligence in insurance industry. Based on the conducted analysis it is concluded that possibilities of artificial intelligence in insurance are almost infinite. Technology contributes to better clarified claims, helps insurance companies to identify fraud and automatically avoid losses. Due to all this, the insurance companies on the market improve their production cycle while clients are provided with better service and better rates. Artificial intelligence assists us in improving the business today and will do so in the future: increase competitiveness, enhance the engagement of clients, accelerate innovations, increase profitability and productivity of employees.

Keywords: artificial intelligence, types of artificial intelligence in insurance, personalisation, improved data protection, software for insurance.

Vol. 9 No. 1 (2024): TTTP - APEIRON

Vladimir Gatarić, Tanja Marjanac, Vuk Bogdanović

The influence of the corona virus pandemic on the characteristics of vehicle flow on the e-661 highway

Original scientific paper

DOI: 10.7251/JTTTP2401016G

Abstract

In this work, the characteristics of the traffic flow on the section of the Gradiška- Banja Luka highway, which is part of the European road route E-661, were analyzed in the period from 2019 to 2022. Data on the size of flow requests were taken from the database of the toll station “Jakupovci” on the Gradiška- Banja Luka highway. When defining the size of the flow request, the structure of the traffic flow was also taken into account, in accordance with the categories according to which the toll is collected. The period in which the analysis of flow characteristics was performed also includes the period in which the coronavirus pandemic reigned, when certain travel rules and prohibitions were in force. In accordance with that, the work will specifically analyze the impact of the COVID 19 pandemic on the characteristics of the traffic flow on the Gradiška- Banja Luka highway section. Given that the

„Jakupovci“ toll station is the busiest toll station on the Gradiška- Banja Luka highway, the results of the analysis can be applied to other sections of highways in the Republic of Srpska.

Keywords: Traffic flow characteristics, vehicle flow, COVID 19 pandemic, Gradiška- Banja Luka highway

Vol. 7 No. 2 (2022): TTTP - APEIRON

Jaroslav Lupačov, Željko Stanković

Artificial intelligence in insurance companies

Original scientific paper

DOI: 10.7251/JTTTP2202077L

Abstract

In this article given is the analysis of the development of artificial intelligence- AI in insurance companies, which has caused the execution of the following tasks: analysis of the role and significance of artificial intelligence in insurance;description of software tools in insurance; description of implementation of artificial intelligence in insurance industry. Based on the conducted analysis it is concluded that possibilities of artificial intelligence in insurance are almost infinite. Technology contributes to better clarified claims, helps insurance companies to identify fraud and automatically avoid losses. Due to all this, the insurance companies on the market improve their production cycle while clients are provided with better service and better rates. Artificial intelligence assists us in improving the business today and will do so in the future: increase competitiveness, enhance the engagement of clients, accelerate innovations, increase profitability and productivity of employees.

Keywords : artificial intelligence, types of artificial intelligence in insurance, personalisation, improved data protection, software for insurance.