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    Publications

    Papers in International JournalsChapters/ Papers in International BooksChapters/ Papers in National BooksCommunications in International ConferencesCommunications in National ConferencesMSc ThesesBooksProceedingsPatentsTechnical/ Scientific ReportsPhD Theses
    @JournalArticle {2076,
    	title = {PORTUGUESE TWO-LANE HIGHWAYS: MODELING CRASH FREQUENCIES FOR DIFFERENT TEMPORAL AND SPATIAL AGGREGATION OF CRASH DATA},
    	journal = {Transport},
    	year = {2015},
    	month = {2015-07-25 00:00:00},
    	publisher = {VILNIUS GEDIMINAS TECH UNIV},
    	abstract = {

    The identification of contributory factors to crash frequencies observed in different highway facilities can aid transportation and traffic management agencies to improve road traffic safety. In spite of the strategic importance of the national Portuguese road network, there are no recent studies concerned with either the identification of contributory factors to road crashes or crash prediction models (CPMs) for this type of roadway. This study presents an initial contribution to this problem by focusing on the national roads NR-14, NR-101 and NR-206, which are located in Portugal{\textquoteright}s northern region. They are two-lane single carriageway rural roads. This study analyzed the crash frequencies, average annual daily traffic (AADT) and geometric characteristics of 88 two-lane road segments. The selected segments were 200-m-long and did not cross through urbanized areas. The fixed length of 200 meters corresponds to the road length used in Portugal to define a critical point. Data regarding the annual crash frequency and the AADT were available from 1999 to 2010. Due to the high number of zero-crash records in the initial database, the data were explored to identify the best statistical modeling approach to be adopted. The GEE procedure was applied to 10 distinctive databases formed by grouping the original data in time and space. The results show that the different observations within each road segment present an exchangeable correlation structure type. This paper also analyses the impact of the sample size on the model{\textquoteright}s capability of identifying the contributing factors to crash frequencies. The major contributing factors identified for the two-lane highways studied were the traffic volume (expressed in AADT), lane width, vertical sinuosity, and density of access points. Acceptable CPM was identified for the highways considered, which estimated the total number of crashes for 400-m-long segments for a cumulative period of two years.

    }, keywords = {crash contributory factors, crash prediction models, generalized estimating equations, longitudinal data, two-lane highways}, issn = {1648-4142 (Print), 1648-3480 (Online)}, doi = {10.3846/16484142.2015.1073619}, author = {Costa, J. O. and Jacques, M. A. P. and Pereira, P. and Freitas, E.F. and Francisco, S.} }

    About CTAC

    The Centre for Territory, Environment and Construction (CTAC) is a research unit of the School of Engineering of University of Minho (UMinho), recognised by the “FCT – Fundação para a Ciência e Tecnologia” (Foundation for Science and Technology), associated to the Department of Civil Engineering (DEC), with whom it shares resources and namely human resources.

    Currently CTAC aggregates 25 researchers holding a PhD of which 20 are faculty professors of the Civil Engineering Department. Read more


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    Centro de Território, Ambiente e Construção
    Escola de Engenharia da Universidade do Minho
    Campus de Azurém
    4800-058 Guimarães, Portugal

    Phone: + 351 253 510 200 (517 206)
    Fax: + 351 253 510 217

    Email: geral@ctac.uminho.pt


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