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; Jakub Stawik

doi:10.3390/en13123087

War Studies Academy

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Title

Management of Delay Optimization at Intersections

Authors

Łukasz Kuźmiński ^{[ 1 ]}
Piotr Maśloch (WZiD) ^{[ 2 ][ 6.6 ][ P ]}
Marek Bazan ^{[ 3 ]}
Tomasz Janiczek ^{[ 3 ]}
Krzysztof Halawa ^{[ 3 ]}
Henryk Wojtaszek (WZiD) ^{[ 2 ][ 6.6 ][ P ]}
Ireneusz Miciuła ^{[ 4 ]}
Tomasz Chajduga ^{[ 5 ]}
Adam Kawecki ^{[ 3 ]}
Robert Czwartosz ^{[ 3 ]}
Jakub Stawik ^{[ 3 ]}

^{[ 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)

[6.6] Management and quality studies

Year of publication

2020

Published in

Energies

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

Article type

scientific article

Publication language

english

Keywords

PL

Transport drogowy
Zarządzanie
Planowanie

EN

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

Abstract

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

15.06.2020

Pages (from - to)

1 - 22

DOI

10.3390/en13123087

URL

https://www.mdpi.com/1996-1073/13/12/3087

License type

CC BY (attribution alone)

Open Access Mode

publisher's website