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Uravnavanje cestnega prometa ob izvedbi prevzema prometnega signala
ID Košenina, Luka (Author), ID Lavbič, Dejan (Mentor) More about this mentor... This link opens in a new window

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PID: 20.500.12556/rul/31955689-8bc0-416e-aece-875b6ffe9a9d

Abstract
Dandanes se vse bolj pogosto srečujemo s prometnimi zastoji na slovenskih cestah, še posebej na mestnih vpadnicah. Takšni prometni pogoji otežujejo izvedbo hitre in učinkovite intervencijske storitve. Če želimo olajšati delo intervencijskim vozilom na nujnih vožnjah, moramo vpeljati sistem, ki jim omogoča zmanjšanje časa potovanja, saj je to ključnega pomena pri reševanju človeških življenj in premoženja. Z namenom reševanja tega problema je bilo izdelanih mnogo rešitev, med katerimi so najuspešnejše tehnike prevzema prometnega signala z uporabo napredne signalizacije na področju inteligentnih prometnih sistemov. V magistrskem delu predstavimo izdelan simulator cestnega prometa za namen analize uspešnosti tehnik prevzema prometnega signala s strani intervencijskih vozil. Z uporabo simulatorja lahko na podlagi obsežnih rezultatov za poljubno cestno omrežje priporočimo, katera izmed testiranih tehnik prevzema je najbolj primerna za vpeljavo. Na primeru cestnoprometne infrastrukture Ljubljane smo s pomočjo simulatorja ugotovili, da vpeljava tehnike prevzema z zelenim valom v povprečju doprinese 36 % zmanjšanje časa vožnje intervencijskih vozil v primerjavi s povprečnim časom intervencijskega vozila, ki uporablja trenutno tehnologijo, tj. zvočna in svetlobna signalizacija.

Language:Slovenian
Keywords:prometna znanost, prevzem prometnega signala za intervencijska vozila, upravljanje cestnega prometa, intervencijska vozila
Work type:Master's thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2018
PID:20.500.12556/RUL-99912 This link opens in a new window
Publication date in RUL:21.02.2018
Views:1238
Downloads:422
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Secondary language

Language:English
Title:Road traffic control with adoption of traffic signal preemption
Abstract:
Nowadays, we are increasingly confronted with traffic congestion on Slovenian roads, especially in urban areas. Such traffic conditions make it difficult to carry out a fast and effective emergency service. In order to reduce travel time of emergency vehicles, we need to establish a system to facilitate their work, as this has a potential in significant savings of life and property. In order to solve this problem, many solutions were developed. Among which the most successful techniques for preempting a traffic signal, in the field of intelligent transport systems, are using advanced signaling. In this master’s thesis, we present a developed road traffic simulator for analyzing the success of the traffic signal preemption techniques. Through extensive simulation results, we can recommend which of the tested traffic signal preemption techniques is most suitable for deployment. In the example of Ljubljana's road infrastructure, with the help of the simulator, it was found that the introduction of a green wave preemption technique contributes an average of 36 % reduction in the travel time of the emergency vehicles compared to the average time of the emergency vehicle utilizing the current technology, sound and light signaling.

Keywords:traffic engineering, emergency vehicle preemption, road traffic management, emergency vehicles

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