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Management of Delay Optimization at Intersections

Author

Listed:
  • 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)

  • Henryk Wojtaszek

    (Management Institute Management and Command Department, War Studies University, 00-910 Warsaw, 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)

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.

Suggested Citation

  • Łukasz Kuźmiński & Piotr Maśloch & Marek Bazan & Tomasz Janiczek & Krzysztof Halawa & Henryk Wojtaszek & Ireneusz Miciuła & Tomasz Chajduga & Adam Kawecki & Robert Czwartosz & Jakub Stawik, 2020. "Management of Delay Optimization at Intersections," Energies, MDPI, vol. 13(12), pages 1-22, June.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3087-:d:371835
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    References listed on IDEAS

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    1. Henryk Wojtaszek & Ireneusz Miciuła, 2019. "Analysis of Factors Giving the Opportunity for Implementation of Innovations on the Example of Manufacturing Enterprises in the Silesian Province," Sustainability, MDPI, vol. 11(20), pages 1-28, October.
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    Cited by:

    1. Arkadiusz Kampczyk & Wojciech Gamon & Katarzyna Gawlak, 2023. "Integration of Traction Electricity Consumption Determinants with Route Geometry and Vehicle Characteristics," Energies, MDPI, vol. 16(6), pages 1-23, March.

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