Improving the self-explaining performance of Czech national roads

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F17%3AN0000077" target="_blank" >RIV/44994575:_____/17:N0000077 - isvavai.cz</a>

Výsledek na webu

<a href="http://amonline.trb.org/" target="_blank" >http://amonline.trb.org/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Improving the self-explaining performance of Czech national roads

Popis výsledku v původním jazyce

(presented at Transportation Research Board 96th Annual Meeting, Washington, D.C., 8. - 12. 1. 2017) Improving the road network according to principles of self-explaining roads is a promising way to increase the level of safety; however, there are no universal guidelines on how to measure and improve the self-explaining performance of the existing roads. In order to apply this approach on Czech national roads, the presented study was conducted, consisting of five steps: (1) automated segmentation into tangents and horizontal curves; (2) collection of floating car data and calculation of speed; (3) development of multivariate speed models for estimation of speed also on segments not covered by floating car data; (4) network-wide application of the models and evaluation of speed consistency, i.e. differences of speeds on tangents and following curves; (5) identification of substandard curves, categorization and proposal of optimization in terms of consistent placement of traffic control devices or reconstructions. The paper describes all the steps as well as several checks conducted along the way, such as comparison of profile speed and floating car speed, interpretation of regression models, and validation of predicted speed consistency against long-term average of crash frequency. The methodology was certified for use in practice and will be applied by the Czech national road agency.

Název v anglickém jazyce

Improving the self-explaining performance of Czech national roads

Popis výsledku anglicky

(presented at Transportation Research Board 96th Annual Meeting, Washington, D.C., 8. - 12. 1. 2017) Improving the road network according to principles of self-explaining roads is a promising way to increase the level of safety; however, there are no universal guidelines on how to measure and improve the self-explaining performance of the existing roads. In order to apply this approach on Czech national roads, the presented study was conducted, consisting of five steps: (1) automated segmentation into tangents and horizontal curves; (2) collection of floating car data and calculation of speed; (3) development of multivariate speed models for estimation of speed also on segments not covered by floating car data; (4) network-wide application of the models and evaluation of speed consistency, i.e. differences of speeds on tangents and following curves; (5) identification of substandard curves, categorization and proposal of optimization in terms of consistent placement of traffic control devices or reconstructions. The paper describes all the steps as well as several checks conducted along the way, such as comparison of profile speed and floating car speed, interpretation of regression models, and validation of predicted speed consistency against long-term average of crash frequency. The methodology was certified for use in practice and will be applied by the Czech national road agency.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20104 - Transport engineering

Projekt

<a href="/cs/project/ED2.1.00%2F03.0064" target="_blank" >ED2.1.00/03.0064: Dopravní VaV centrum</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů