2020•Unpublished venueRequires access

The analysis of the relations between road vehicle traffic parameters and the number of road accidents in subsequent hours of the day - a case study

Andrzej Bąkowski, Rafał Jurecki, Leszek Radziszewski, Paweł Świetlik

Open publisher page 2 citations

Abstract

The study analyzes the relation between vehicle traffic parameters, i.e. volume, speed, noise and road accidents within the time period of one year. The data regarding the number of accidents was obtained from the Polish Accident and Collision Records System (Polish abbreviation - SEWIK). Traffic flow, vehicle speed and urban traffic noise were recorded by two traffic and noise monitoring stations at Krakowska and Lódzka streets in Kielce in 2013. The road noise was calculated according to the Cnossos-EU method and compared with measured values. Relation between the median of the number of traffic accidents, traffic volume, vehicle speed and noise in subsequent hours of the day was analyzed. High values of the correlation coefficient calculated for the relationship between the number of road accidents and traffic volume, speed and noise were found. In the case of Krakowska street (Road No 762), the values of this coefficient were, respectively: 0.88, -0.83 and 0.74. For Lódzka street (Road No 74), the values of the correlation coefficient between the tested parameters were 0.89, -0.82 and 0.85. The study showed that the largest number of road accidents occurs during the morning and afternoon rush hours. At these times of the day the noise is also the highest. The possibility of using the median of the road noise and traffic volume as a traffic accidents descriptor was examined.

About this research paper

What this paper is about

The study analyzes the relation between vehicle traffic parameters, i.e. volume, speed, noise and road accidents within the time period of one year. The data regarding the number of accidents was obtained from the Polish Accident and Collision Records System (Polish abbreviation - SEWIK). Traffic flow, vehicle speed and urban traffic noise were recorded by two traffic and noise monitoring stations at Krakowska and Lódzka streets in Kielce in 2013. The road noise was calculated according to the Cnossos-EU method and compared with measured values. Relation between the median of the number of traffic accidents, traffic volume, vehicle speed and noise in subsequent hours of the day was analyzed. High values of the correlation coefficient calculated for the relationship between the number of road accidents and traffic volume, speed and noise were found. In the case of Krakowska street (Road No 762), the values of this coefficient were, respectively: 0.88, -0.83 and 0.74. For Lódzka street (Road No 74), the values of the correlation coefficient between the tested parameters were 0.89, -0.82 and 0.85. The study showed that the largest number of road accidents occurs during the morning and afternoon rush hours. At these times of the day the noise is also the highest. The possibility of using the median of the road noise and traffic volume as a traffic accidents descriptor was examined.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The study analyzes the relation between vehicle traffic parameters, i.e. volume, speed, noise and road accidents within the time period of one year. The data regarding the number of accidents was obtained from the Polish Accident and Collision Records System (Polish abbreviation - SEWIK). Traffic flow, vehicle speed and urban traffic noise were recorded by two traffic and noise monitoring stations at Krakowska and Lódzka streets in Kielce in 2013. The road noise was calculated according to the Cnossos-EU method and compared with measured values. Relation between the median of the number of traffic accidents, traffic volume, vehicle speed and noise in subsequent hours of the day was analyzed. High values of the correlation coefficient calculated for the relationship between the number of road accidents and traffic volume, speed and noise were found. In the case of Krakowska street (Road No 762), the values of this coefficient were, respectively: 0.88, -0.83 and 0.74. For Lódzka street (Road No 74), the values of the correlation coefficient between the tested parameters were 0.89, -0.82 and 0.85. The study showed that the largest number of road accidents occurs during the morning and afternoon rush hours. At these times of the day the noise is also the highest. The possibility of using the median of the road noise and traffic volume as a traffic accidents descriptor was examined.

Key concepts: Traffic volume, Road traffic, Noise (video), Correlation coefficient, Traffic flow (computer networking), Traffic noise, Transport engineering, Statistics

Related papers

Back to paper searchBrowse research topicsOriginal source
The analysis of the relations between road vehicle traffic parameters and the number of road accidents in subsequent hours of the day - a case study — Research Paper | ScholarLens