Review article

https://doi.org/10.7307/ptt.v27i5.1667

Computational Intelligence in Highway Management: A Review

Ondrej Pribyl ; Associate professor, MSc, PhDVice-dean for international relationsCzech Technical University in PragueDepartment of Applied MathematicsNa Florenci 25, Praha 1, 110 00Czech Republic
Milan Koukol ; Czech Technical University in PragueFaculty of Transportation Sciences
Jana Kuklova ; Czech Technical University in PragueFaculty of Transportation Sciences

Abstract

Highway management systems are used to improve safety and driving comfort on highways by using control strategies and providing information and warnings to drivers. They use several strategies starting from speed and lane management, through incident detection and warning systems, ramp metering, weather information up to, for example, informing drivers about alternative roads. This paper provides a review of the existing approaches to highway management systems, particularly speed harmonization and ramp metering. It is focused only on modern and advanced approaches, such as soft computing, multi-agent methods and their interconnection. Its objective is to provide guidance in the wide field of highway management and to point out the most relevant recent activities which demonstrate that development in the field of highway management is still important and that the existing research exhibits potential for further enhancement.

Keywords

traffic management; traffic control systems; congestion; soft computing; multi-agent systems

Hrčak ID:

149611

URI

https://hrcak.srce.hr/149611

Publication date:

28.10.2015.

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