Driving above the speed limit increases the risk of a crash scenario, and poses a safety risk to the driver, to passengers and to bystanders. The relationship between vehicle speed and risk of an accident is exponential, e.g. a 2 km/h increase in speed increases the risk of a fatal accident by 20%, while a 10 km/h increase raises the risk by 120%. The EU H2020 WeCount project used low-cost traffic sensors in five case study areas across Europe to enable citizens to measure traffic and car speeds on their streets. In Dublin 147 citizens participated in the project and installed a camera based sensor in their window. The aim of this study is to analyse the influence of environmental factors, e.g. road layout, traffic volume, weather, on the proportion of cars exceeding the speed limit during a six month study period. Data was collected between 6:00 and 18:00 from 21/3/2021 to 21/9/2021. The statistical analyses included descriptive analyses and beta regression models. The analyses of spatially varying predictor variables has shown an association between speeding and the assigned speed limit of a road, with a higher proportion of speeding on roads with a 30km/h speed limit. Further analyses of temporally and spatio-temporally varying predictor variables are still ongoing.

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Spatio-Temporal Analysis of Speed Limit Exceedances in Dublin Using Low-Cost Sensors and Citizen Science

  • Anna Mölter,
  • Francesco Pilla

摘要

Driving above the speed limit increases the risk of a crash scenario, and poses a safety risk to the driver, to passengers and to bystanders. The relationship between vehicle speed and risk of an accident is exponential, e.g. a 2 km/h increase in speed increases the risk of a fatal accident by 20%, while a 10 km/h increase raises the risk by 120%. The EU H2020 WeCount project used low-cost traffic sensors in five case study areas across Europe to enable citizens to measure traffic and car speeds on their streets. In Dublin 147 citizens participated in the project and installed a camera based sensor in their window. The aim of this study is to analyse the influence of environmental factors, e.g. road layout, traffic volume, weather, on the proportion of cars exceeding the speed limit during a six month study period. Data was collected between 6:00 and 18:00 from 21/3/2021 to 21/9/2021. The statistical analyses included descriptive analyses and beta regression models. The analyses of spatially varying predictor variables has shown an association between speeding and the assigned speed limit of a road, with a higher proportion of speeding on roads with a 30km/h speed limit. Further analyses of temporally and spatio-temporally varying predictor variables are still ongoing.