ISSN: 2490-3477

E-ISSN: 2490-3485

TTTP

Traffic and Transport Theory and Practice

Journal for Traffic and Transport Research and Application

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

Boris Z. Ribarić, Snježana Rajilić, Зоран Рибарић

Autonomous vehicles in road traffic

Original scientific paper

DOI: 10.7251/JTTTP2401042R

Abstract

The tendencies in further technological development and across all branches of industry are well-known worldwide, with a focus on the advancement of robotics and artificial intelligence. Over the years, there has been significant progress in the development of robotics, coupled with increased human awareness of its potential applications. Consequently, we find ourselves in a period where the commercialization and widespread utilization of artificially intelligent machines in human environments have become a reality. Among the significant applications of robotics in human lives is the utilization of robotic vehicles, commonly referred to as autonomous vehicles, in traffic management.

The implementation of new technologies aims to address various challenges in transportation, includ- ing congestion reduction, cost optimization, safety enhancement, and mitigation of environmental im- pact. This endeavor involves the integration of telecommunications, electronics, and informatics with traffic engineering principles for effective planning, design, and management of traffic systems. Such integration leads to improved efficiency and safety within the traffic system, while also yielding positive environmental outcomes.

Keywords: information integration, artificial intelligence, autonomous vehicles, road traffic, robotic ve- hicles

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

Boris Z. Ribarić, Snježana Rajilić, Зоран Рибарић

Autonomous vehicles in road traffic

Original scientific paper

DOI: 10.7251/JTTTP2401042R

Abstract

The tendencies in further technological development and across all branches of industry are well-known worldwide, with a focus on the advancement of robotics and artificial intelligence. Over the years, there has been significant progress in the development of robotics, coupled with increased human awareness of its potential applications. Consequently, we find ourselves in a period where the commercialization and widespread utilization of artificially intelligent machines in human environments have become a reality. Among the significant applications of robotics in human lives is the utilization of robotic vehicles, commonly referred to as autonomous vehicles, in traffic management.

The implementation of new technologies aims to address various challenges in transportation, includ- ing congestion reduction, cost optimization, safety enhancement, and mitigation of environmental im- pact. This endeavor involves the integration of telecommunications, electronics, and informatics with traffic engineering principles for effective planning, design, and management of traffic systems. Such integration leads to improved efficiency and safety within the traffic system, while also yielding positive environmental outcomes.

Keywords : information integration, artificial intelligence, autonomous vehicles, road traffic, robotic ve- hicles