LAPSE:2023.23698
Published Article
LAPSE:2023.23698
Management of Delay Optimization at Intersections
March 27, 2023
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.
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.
Record ID
Keywords
controlling, driver reaction time, management, motivating, OMNeT++, organizing, Planning, SUMO, traffic congestion, traffic lights, vehicle-to-vehicle data exchange, vehicular ad-hoc networks
Subject
Suggested Citation
Kuźmiński Ł, Maśloch P, Bazan M, Janiczek T, Halawa K, Wojtaszek H, Miciuła I, Chajduga T, Kawecki A, Czwartosz R, Stawik J. Management of Delay Optimization at Intersections. (2023). LAPSE:2023.23698
Author Affiliations
Kuźmiński Ł: Department of Process Management, Management Department, Wroclaw University of Economics, 53-345 Wroclaw, Poland
Maśloch P: Management Institute Management and Command Department, War Studies University, 00-910 Warsaw, Poland [ORCID]
Bazan M: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland [ORCID]
Janiczek T: Department of Control Systems and Mechatronics, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wroclaw, Poland
Halawa K: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland [ORCID]
Wojtaszek H: Management Institute Management and Command Department, War Studies University, 00-910 Warsaw, Poland [ORCID]
Miciuła I: Department of Sustainable Finance and Capital Markets, Faculty of Economics, Finance and Management, University of Szczecin, 70-453 Szczecin, Poland [ORCID]
Chajduga T: Department of Logistics and International Management, Faculty of Management, Czestochowa University of Technology, 42-218 Czestochowa, Poland
Kawecki A: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland [ORCID]
Czwartosz R: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland
Stawik J: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland
Maśloch P: Management Institute Management and Command Department, War Studies University, 00-910 Warsaw, Poland [ORCID]
Bazan M: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland [ORCID]
Janiczek T: Department of Control Systems and Mechatronics, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wroclaw, Poland
Halawa K: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland [ORCID]
Wojtaszek H: Management Institute Management and Command Department, War Studies University, 00-910 Warsaw, Poland [ORCID]
Miciuła I: Department of Sustainable Finance and Capital Markets, Faculty of Economics, Finance and Management, University of Szczecin, 70-453 Szczecin, Poland [ORCID]
Chajduga T: Department of Logistics and International Management, Faculty of Management, Czestochowa University of Technology, 42-218 Czestochowa, Poland
Kawecki A: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland [ORCID]
Czwartosz R: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland
Stawik J: Department of Computer Engineering, Faculty of Electronics, Wroclaw University of Science and Technology, 50-372 Wrocław, Poland
Journal Name
Energies
Volume
13
Issue
12
Article Number
E3087
Year
2020
Publication Date
2020-06-15
ISSN
1996-1073
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PII: en13123087, Publication Type: Journal Article
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LAPSE:2023.23698
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https://doi.org/10.3390/en13123087
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Mar 27, 2023
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