Identification of high accident concentration sections on the Lithuanian roads of national significance

K. Ratkeviciute; V. Jasiuniene; Harri Peltola

doi:10.3846/enviro.2014.166

Identification of high accident concentration sections on the Lithuanian roads of national significance

K. Ratkeviciute, V. Jasiuniene, Harri Peltola

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Seeking for accident prevention and not waiting until accidents occur and the black spot is formed, it is necessary to use accident prediction models and to implement safety improvement measures on the potentially dangerous road sections, thus, preventing the formation of new high accident concentration sections. The paper describes how to identify high accident concentration sections on roads using accident prediction models and the critical value of predicted accidents.

Original language	English
Title of host publication	International Conference on Environmental Engineering (ICEE) Selected papers
Number of pages	7
ISBN (Electronic)	978-609-457-690-4
DOIs	https://doi.org/10.3846/enviro.2014.166
Publication status	Published - 2014
MoE publication type	A4 Article in a conference publication
Event	9th International Conference on Environmental Engineering, ICEE 2014, 22 - 23 May 2014, Vilnius, Lithuania - Duration: 1 Jan 2014 → …

Conference

Conference	9th International Conference on Environmental Engineering, ICEE 2014, 22 - 23 May 2014, Vilnius, Lithuania
Period	1/01/14 → …

Keywords

traffic safety
road accident
estimation

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10.3846/enviro.2014.166

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Cite this

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title = "Identification of high accident concentration sections on the Lithuanian roads of national significance",

abstract = "Seeking for accident prevention and not waiting until accidents occur and the black spot is formed, it is necessary to use accident prediction models and to implement safety improvement measures on the potentially dangerous road sections, thus, preventing the formation of new high accident concentration sections. The paper describes how to identify high accident concentration sections on roads using accident prediction models and the critical value of predicted accidents.",

keywords = "traffic safety, road accident, estimation",

author = "K. Ratkeviciute and V. Jasiuniene and Harri Peltola",

note = "Project code: 80726 ; 9th International Conference on Environmental Engineering, ICEE 2014, 22 - 23 May 2014, Vilnius, Lithuania ; Conference date: 01-01-2014",

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doi = "10.3846/enviro.2014.166",

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Ratkeviciute, K, Jasiuniene, V & Peltola, H 2014, Identification of high accident concentration sections on the Lithuanian roads of national significance. in International Conference on Environmental Engineering (ICEE) Selected papers. 9th International Conference on Environmental Engineering, ICEE 2014, 22 - 23 May 2014, Vilnius, Lithuania, 1/01/14. https://doi.org/10.3846/enviro.2014.166

Identification of high accident concentration sections on the Lithuanian roads of national significance. / Ratkeviciute, K.; Jasiuniene, V.; Peltola, Harri.

International Conference on Environmental Engineering (ICEE) Selected papers. 2014.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Peltola, Harri

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Y1 - 2014

N2 - Seeking for accident prevention and not waiting until accidents occur and the black spot is formed, it is necessary to use accident prediction models and to implement safety improvement measures on the potentially dangerous road sections, thus, preventing the formation of new high accident concentration sections. The paper describes how to identify high accident concentration sections on roads using accident prediction models and the critical value of predicted accidents.

AB - Seeking for accident prevention and not waiting until accidents occur and the black spot is formed, it is necessary to use accident prediction models and to implement safety improvement measures on the potentially dangerous road sections, thus, preventing the formation of new high accident concentration sections. The paper describes how to identify high accident concentration sections on roads using accident prediction models and the critical value of predicted accidents.

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KW - road accident

KW - estimation

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DO - 10.3846/enviro.2014.166

M3 - Conference article in proceedings

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BT - International Conference on Environmental Engineering (ICEE) Selected papers

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