Demand Model in the Agglomeration using Sim Cards

Andrzej Brzeziński , Tomasz Jacek Dybicz , Ł. Szymański


AbstractThe road network development programme, as well as planning and design of transport systems of cities and agglomerations require complex analyses and traffic forecasts. It particularly applies to higher-class roads (motorways and expressways), which in urban areas, support different types of traffic. Usually there is a conflict between the needs of long-distance traffic, in the interest of which higher-class roads run through undeveloped areas, and the needs of bringing such road closer to potential destinations, cities [1]. By recognising the importance of this problem it is necessary to develop the research and methodology of traffic analysis, especially trip models. The current experience shows that agglomeration models are usually simplified in comparison to large city models, what results from misunderstanding of the significance of these movements for the entire model functioning, or the lack of input data. The article presents the INMOP 3 research project results, within the framework of which it was attempted to increase the accuracy of traffic generation in agglomeration model owing to the use of BigData – the mobile operator’s data on SIM card movements in the Warsaw agglomeration.
Author Andrzej Brzeziński (FCE / IRB)
Andrzej Brzeziński,,
- The Institute of Roads and Bridges
, Tomasz Jacek Dybicz (FCE / IRB)
Tomasz Jacek Dybicz,,
- The Institute of Roads and Bridges
, Ł. Szymański - [TransEko Design-Consulting Office]
Ł. Szymański,,
Journal seriesArchives of Civil Engineering, [Archiwum Inżynierii Lądowej], ISSN 1230-2945, (N/A 100 pkt)
Issue year2019
Publication size in sheets0.65
Keywords in Englishtransport system, trip modelling, demand model, trip generation, agglomeration models, BigData
ASJC Classification2205 Civil and Structural Engineering
Languageen angielski
[12302945 - Archives of Civil Engineering] Demand Model in the Agglomeration using Sim Cards.pdf 980.37 KB
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 17-12-2019, ArticleFromJournal
Publication indicators Scopus Citations = 0; WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.866
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