Management of Delay Optimization at Intersections

Łukasz Kuźmiński, Piotr Maśloch, Marek Bazan, Tomasz Janiczek, Krzysztof Halawa, Henryk Wojtaszek, Ireneusz Miciuła, Tomasz Chajduga, Adam Kawecki, Robert Czwartosz and Jakub Stawik
Additional contact information
Łukasz Kuźmiński: Department of Process Management, Management Department, Wroclaw University of Economics, 53-345 Wroclaw, Poland
Piotr Maśloch: Management Institute Management and Command Department, War Studies University, 00-910 Warsaw, Poland
Marek Bazan: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland
Tomasz Janiczek: Department of Control Systems and Mechatronics, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wroclaw, Poland
Krzysztof Halawa: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland
Ireneusz Miciuła: Department of Sustainable Finance and Capital Markets, Faculty of Economics, Finance and Management, University of Szczecin, 70-453 Szczecin, Poland
Tomasz Chajduga: Department of Logistics and International Management, Faculty of Management, Czestochowa University of Technology, 42-218 Czestochowa, Poland
Adam Kawecki: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland
Robert Czwartosz: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland
Jakub Stawik: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland

Energies, 2020, vol. 13, issue 12, 1-22

Abstract: Congestion extends the time of the journey for both people and goods. Therefore, transport solutions should be optimized. Management scientists and technical scientists worked together in order to develop a proprietary solution to increase efficiency in terms of productivity improvements for intelligent transport systems. The most fundamental functions of management have been paired with a detailed analysis of city traffic. The authors developed a method for determining the order of vehicles at traffic lights and connected it with vehicle-to-vehicle communication and GPS signals. As a result, a novel method to increase the throughput of intersections is presented. This solution generates a sound signal in order to inform the driver that the preceding car has started moving forward. The proposed solution leads to the shortening of the reaction time of the drivers waiting in a queue. This situation is most common at red lights. Consequently, the traffic simulation shows that the discharge of queues at traffic lights may be quicker by up to 13.5%. Notably, that proposed solution does not require any modification of the infrastructure as well as any additional devices for vehicle-to-infrastructure communication at the road intersections. To conclude, proper implementation of the proposed solution will certainly contribute to efficiency improvements within intelligent transport systems, with the potential to reduce traffic jams.

Keywords: management; planning; organizing; motivating; controlling; vehicular ad-hoc networks; vehicle-to-vehicle data exchange; traffic lights; traffic congestion; driver reaction time; SUMO; OMNeT++ (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/12/3087/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/12/3087/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:12:p:3087-:d:371835

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().