Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/43426
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DC Field | Value | Language |
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dc.contributor.author | ZAVANTIS, Dimitrios | - |
dc.contributor.author | Mandalozis, Dimitrios | - |
dc.contributor.author | YASAR, Ansar | - |
dc.contributor.author | Hasimi, Lumbardha | - |
dc.date.accessioned | 2024-07-23T10:04:05Z | - |
dc.date.available | 2024-07-23T10:04:05Z | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-07-11T17:55:36Z | - |
dc.identifier.citation | Procedia Computer Science, 238 , p. 610 -617 | - |
dc.identifier.uri | http://hdl.handle.net/1942/43426 | - |
dc.description.abstract | In recent years, vehicle traffic has become a major issue, with a significant increase in the number of vehicles leading to congestion on urban roads and motorways. This has resulted in an increase in accidents, causing more injuries and fatalities. In particular the cases with seriously injured road users who may not survive due to traffic congestion delaying emergency services. This paper tries to analyse the importance of the response time of the emergency services during road accidents, using real data from a hybrid environment (motorway and urban road). The presented model in this research aims to identifying the traffic problems, where the traffic lights are found to cause congestion issues and high travel times, even with low traffic volumes. The implementation of a traffic lights optimization system can be a crucial element in survival chances. The study also shows that an increase in traffic volume leads to drastic traffic congestion, highlighting further the importance of the traffic light optimization system. | - |
dc.language.iso | en | - |
dc.publisher | - | |
dc.rights | 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Conference Program Chairs | - |
dc.subject.other | VISSIM analysis | - |
dc.subject.other | vehicle travel times | - |
dc.subject.other | queue lengths | - |
dc.subject.other | emergency services | - |
dc.subject.other | response time | - |
dc.subject.other | injuries | - |
dc.subject.other | fatalities | - |
dc.title | The Importance of Implementation of Traffic Light Optimization System: Greece Case Study | - |
dc.type | Journal Contribution | - |
local.bibliographicCitation.conferencedate | April 23-25, 2024 | - |
local.bibliographicCitation.conferencename | The 15th International Conference on Ambient Systems, Networks and Technologies (ANT) | - |
local.bibliographicCitation.conferenceplace | Hasselt, Belgium | - |
dc.identifier.epage | 617 | - |
dc.identifier.spage | 610 | - |
dc.identifier.volume | 238 | - |
local.bibliographicCitation.jcat | A2 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1016/j.procs.2024.06.068 | - |
dc.identifier.eissn | - | |
local.provider.type | - | |
local.uhasselt.international | yes | - |
item.contributor | ZAVANTIS, Dimitrios | - |
item.contributor | Mandalozis, Dimitrios | - |
item.contributor | YASAR, Ansar | - |
item.contributor | Hasimi, Lumbardha | - |
item.accessRights | Restricted Access | - |
item.fullcitation | ZAVANTIS, Dimitrios; Mandalozis, Dimitrios; YASAR, Ansar & Hasimi, Lumbardha (2024) The Importance of Implementation of Traffic Light Optimization System: Greece Case Study. In: Procedia Computer Science, 238 , p. 610 -617. | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 1877-0509 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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1-s2.0-S1877050924013048-main.pdf Restricted Access | Early view | 1.03 MB | Adobe PDF | View/Open Request a copy |
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