Pregled bibliografske jedinice broj: 1125765
Scheduling of traffic entities under reduced traffic flow by means of fuzzy logic control
Scheduling of traffic entities under reduced traffic flow by means of fuzzy logic control // Promet, 33 (2021), 4; 621-632 doi:10.7307/ptt.v33i4.3686 (međunarodna recenzija, članak, znanstveni)
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Naslov
Scheduling of traffic entities under reduced traffic flow by means of fuzzy logic control
Autori
Kljaić, Zdenko ; Pavković, Danijel ; Mlinarić, Tomislav Josip ; Nikšić, Mladen
Izvornik
Promet (0353-5320) 33
(2021), 4;
621-632
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Fuzzy logic ; simulation ; railway traffic ; scheduling ; logistics ; stochastic traffic flow
Sažetak
This paper presents the design of a fuzzy logic-based traffic scheduling algorithm aimed at reducing traffic congestion for the case of partial obstruction of a bidirectional traffic lane. Such a problem is typically encountered in rail traffic and personal rapid transportation systems with predefined and fixed traffic corridors. The proposed proportional-derivative (PD) fuzzy control algorithm, serving as a traffic control automaton, alternately assigns adaptive green light periods to traffic coming from each direction. The proposed fuzzy logic-based traffic controller has been compared with the conventional traffic control automaton featuring fixed-durations of green light intervals. The comparison has been carried out within a simulation environment for four different probability distributions of stochastic traffic flows at each end of the considered traffic corridor. Results have shown that the proposed fuzzy logic-based traffic controller performance is far superior to that of the conventional traffic control law in terms of achieving shorter vehicle queue lengths and less disparity in queue lengths for all considered simulation scenarios.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Strojarstvo, Tehnologija prometa i transport
POVEZANOST RADA
Projekti:
KK.01.1.1.01.0009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (EK )
Ustanove:
Ericsson Nikola Tesla d.d.,
Fakultet strojarstva i brodogradnje, Zagreb,
Fakultet prometnih znanosti, Zagreb
Profili:
Mladen Nikšić
(autor)
Danijel Pavković
(autor)
Tomislav-Josip Mlinarić
(autor)
Zdenko Kljaić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus