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Management of Delay Optimization at Intersections


[ 1 ] Uniwersytet Ekonomiczny we Wrocławiu | [ 2 ] Instytut Zarządzania, Wydział Zarządzania i Dowodzenia, Akademia Sztuki Wojennej | [ 3 ] Politechnika Wrocławska | [ 4 ] Uniwersytet Szczeciński | [ 5 ] Politechnika Częstochowska | [ P ] employee

Scientific discipline (Law 2.0)

[5.6] Management and quality studies

Year of publication


Published in


Journal year: 2020 | Journal volume: vol. 13 | Journal number: iss. 12

Article type

scientific article

Publication language


  • Transport drogowy
  • Zarządzanie
  • Planowanie
  • Management
  • Planning
  • Vehicular ad-hoc networks
  • Vehicle-to-vehicle data exchange
  • Traffic lights
  • Traffic congestion
  • Driver reaction time
  • SUMO
  • OMNeT++

EN 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 improvementsforintelligenttransportsystems. Themostfundamentalfunctionsofmanagementhave 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.

Date of online publication


Pages (from - to)

1 - 22




License type

CC BY (attribution alone)

Open Access Mode

publisher's website

Open Access Text Version

final published version

Points of MNiSW / journal


Points of MNiSW / journal in years 2017-2021


Impact Factor


Publication indexed in

WoS | Scopus