Proactive identification of risk road locations using vehicle fleet data: exploratory study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F15%3A%230001652" target="_blank" >RIV/44994575:_____/15:#0001652 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.ictct.org/workshops/past-workshops/28-ashdod-israel/" target="_blank" >http://www.ictct.org/workshops/past-workshops/28-ashdod-israel/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Proactive identification of risk road locations using vehicle fleet data: exploratory study

Popis výsledku v původním jazyce

Identification of risk locations within road network is the primary task of its safety management. In this regards traffic accidents have been used as a traditional indicator; however it has also been known that accidents provide retrospective view only,their occurrence is random and their collection is time consuming. On the other hand, various alternative sources which can be used in the process of identification of risk locations have appeared recently, including vehicle fleet data (floating car data). Such data may be used for proactive safety evaluation and identification of risk locations, supposing that a close relationship between speed and accidents exists. In the presented study, position data (series of GPS points representing driving of more than 1000 vehicles) are being collected continually on Czech national rural road network. Registered positions enable calculation of speed and derivation of other indicators. The road network data were analyzed in order to identify tan

Název v anglickém jazyce

Proactive identification of risk road locations using vehicle fleet data: exploratory study

Popis výsledku anglicky

Identification of risk locations within road network is the primary task of its safety management. In this regards traffic accidents have been used as a traditional indicator; however it has also been known that accidents provide retrospective view only,their occurrence is random and their collection is time consuming. On the other hand, various alternative sources which can be used in the process of identification of risk locations have appeared recently, including vehicle fleet data (floating car data). Such data may be used for proactive safety evaluation and identification of risk locations, supposing that a close relationship between speed and accidents exists. In the presented study, position data (series of GPS points representing driving of more than 1000 vehicles) are being collected continually on Czech national rural road network. Registered positions enable calculation of speed and derivation of other indicators. The road network data were analyzed in order to identify tan

Druh

O - Ostatní výsledky

CEP obor

JO - Pozemní dopravní systémy a zařízení

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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