Are the speed-crash models applicable for low speeds?
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F25%3A10002895" target="_blank" >RIV/44994575:_____/25:10002895 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/article/10.1186/s12544-025-00753-6" target="_blank" >https://link.springer.com/article/10.1186/s12544-025-00753-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s12544-025-00753-6" target="_blank" >10.1186/s12544-025-00753-6</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Are the speed-crash models applicable for low speeds?
Popis výsledku v původním jazyce
Several speed-crash models have been developed, enabling proactive estimations of road crash changes in response to driving speed changes. The models have been based primarily on the macro- level high-speed data and have gained popularity; however, their suitability to the localised (micro- level) low-speed conditions is uncertain. To fill this gap, the present study collected a number of speed-crash data samples to study the relationship between the expected crash changes based on the Exponential model and real crash changes, using the specific categories based on speed management measure characteristics. Although there were some positive results, the overall findings were mixed: approximately half of the categories did exhibit a statistically significant relationship between the model prediction and reality, but half did not. While the Exponential model is a valuable speed-crash estimation tool, it may not be fully valid for the micro-scale evaluations, including the low-speed environment and speed management measures with small speed reductions.
Název v anglickém jazyce
Are the speed-crash models applicable for low speeds?
Popis výsledku anglicky
Several speed-crash models have been developed, enabling proactive estimations of road crash changes in response to driving speed changes. The models have been based primarily on the macro- level high-speed data and have gained popularity; however, their suitability to the localised (micro- level) low-speed conditions is uncertain. To fill this gap, the present study collected a number of speed-crash data samples to study the relationship between the expected crash changes based on the Exponential model and real crash changes, using the specific categories based on speed management measure characteristics. Although there were some positive results, the overall findings were mixed: approximately half of the categories did exhibit a statistically significant relationship between the model prediction and reality, but half did not. While the Exponential model is a valuable speed-crash estimation tool, it may not be fully valid for the micro-scale evaluations, including the low-speed environment and speed management measures with small speed reductions.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20104 - Transport engineering
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
European Transport Research Review
ISSN
1867-0717
e-ISSN
1866-8887
Svazek periodika
17
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
13
Strana od-do
nestránkováno
Kód UT WoS článku
001624978100001
EID výsledku v databázi Scopus
2-s2.0-105023147643