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Filtry
wszystkich: 96
Wyniki wyszukiwania dla: ROAD SIGNS
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Kowalewo Pomorskie 2021 - video data - pedestrian, bicycles, vehicles
Dane BadawczeKowalewo Pomorskie 2021 - video data - pedestrian, bicycles, vehicles
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Gdańsk Abrahama 2017 - video data
Dane BadawczeGdańsk Abrahama 2017 - video data
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Miedzyborz 2021 - video data I - pedestrian, bicycles, vehicles
Dane BadawczeMiedzyborz 2021 - video data - pedestrian, bicycles, vehicles
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Krotoszyn 2021 - video data I - pedestrian, bicycles, vehicles
Dane BadawczeKrotoszyn 2021 - video data - pedestrian, bicycles, vehicles
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Gostyn 2021 - video data I - pedestrian, bicycles, vehicles
Dane BadawczeGostyn 2021 - video data - pedestrian, bicycles, vehicles
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DK22-DK91 Bałdowo 2018 - video data
Dane BadawczeDK22-DK91 Bałdowo 2018 - video data
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LIDAR data from the measurement of a WD113 bridge structure
Dane BadawczeThe measurement data was obtained during research related to the utilization of LiDAR observations to assess the condition of bridge structures. The provided data comes from measurements of viaduct WD113 located along a newly built national road near the town of Koszalin. The acquired point cloud constitutes an integral set of information regarding...
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Gdynia 2019 - video data - pedestrian, bicycles, vehicles
Dane BadawczeGdynia 2019 - video data - pedestrian, bicycles, vehicles
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Czyżew- Białystok 2020 - video data
Dane BadawczeThe data contain video traffic data registered on the section Czyżew - Białystok. The analyzed area is located in Podlaskie province. It includes road intersections with railroad line no. 6.
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Permanent traffic counting stations - Expressway S7 in Gdansk, Poland
Dane BadawczeThe data includes traffic data from permanent traffic count station located on the expressway S7 in the Tri-City Agglomeration area in Poland. The data covers the 2 months of 2015 (May, October) and one direction of traffic (eastbound).
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Permanent traffic counting stations - Expressway S6 in Gdansk (dataset containing 5-min aggregated traffic data and weather information)
Dane BadawczeThe data includes traffic data from permanent traffic count station located on the expressway S6 in the Tri-City Agglomeration area in Poland. The data covers the three year period between 2014 and 2017 and one direction of traffic (southbound).
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Braniewo 2020 - video data - pedestrian, bicycles, vehicles
Dane BadawczeBraniewo 2020 - video data
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - All accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Pedestrian accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: Pedestrians. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Young drivers accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: young driver offender. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Motorcycle and moped accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: motorcyclists and mopeds. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Head-on accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, type of accidents: head-on. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2019 - Municipality areas
Dane BadawczeData contain the number of accidents, victims, accident costs divided on municipality areas (119 areas) on regional roads (voivodeship roads) in pomorskie voivodeship in 2019. Measures used to assess the level of social risk are (5 classes: low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Side-impact accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, type of accidents: Side-impact. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2019 - Poviat areas
Dane BadawczeData contain the number of accidents, victims, accident costs divided on poviat areas (16 areas) on regional roads (voivodeship roads) in pomorskie voivodeship in 2019. Measures used to assess the level of social risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Cyclist accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: Cyclists. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Night accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, time of accidents: Night. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Excessive speed accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, cause of accidents: Excessive speed accidents. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Alcohol and drug accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: Offenders under influence of alcohol or drug - driver or pedestrian. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Wałcz 2018 - video data - pedestrian, bicycles, vehicles
Dane BadawczeWałcz DK 10 - 2018 - video data - pedestrian, bicycles, vehicles
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Data from 76- to 81-GHz mmWave Sensor located at S7 road
Dane BadawczeThe set consists data recorded employing IWR1642 mmWave sensor from Texas Instruments. The purpose of the experiment was to detect vehicles and their speed in real conditions – at S7 road, near Dworek village (54°14'40.0"N 18°59'59.0"E).
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Straszyn 2018 - video data
Dane BadawczeStraszyn 2018 - video data
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S14 2019 - video data - pedestrian, bicycles, vehicles
Dane BadawczeS14 2019 - video data - pedestrian, bicycles, vehicles
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Góra Kalwaria 2018 - video data - pedestrian, bicycles, vehicles
Dane BadawczeGóra Kalwaria 2018 - video data - pedestrian, bicycles, vehicles
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Kolbudy 2021 E - video data - pedestrian, bicycles, vehicles
Dane BadawczeKolbudy 2021 E - video data - pedestrian, bicycles, vehicles
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Hel 2019 - video data - pedestrian, bicycles, vehicles
Dane BadawczeHel 2019 - video data - pedestrian, bicycles, vehicles
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Lipsko 2018 - video data - pedestrian, bicycles, vehicles
Dane BadawczeLipsko 2018 - video data - pedestrian, bicycles, vehicles
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DW221 Kościerzyna 2020 - video data - pedestrian, bicycles, vehicles
Dane BadawczeKościerzyna 2020 - video data - pedestrian, bicycles, vehicles
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Strzegom 2019 - video data - pedestrian, bicycles, vehicles
Dane BadawczeStrzegom 2019 - video data - pedestrian, bicycles, vehicles
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Człuchów 2019 - video data - pedestrian, bicycles, vehicles
Dane BadawczeCzłuchów 2019 - video data - pedestrian, bicycles, vehicles
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Kowale 2017 - video data - pedestrian, bicycles, vehicles
Dane BadawczeKowale 2017 - video data - pedestrian, bicycles, vehicles
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Złocieniec 2021- video data - pedestrian, bicycles, vehicles
Dane BadawczeZłocieniec 2021- video data - pedestrian, bicycles, vehicles
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Milicz 2019 - video data - pedestrian, bicycles, vehicles
Dane BadawczeMilicz 2019 - video data - pedestrian, bicycles, vehicles
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Stargard 2021- video data - pedestrian, bicycles, vehicles
Dane BadawczeStargard 2021- video data - pedestrian, bicycles, vehicles
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Kolbudy 2021 W- video data - pedestrian, bicycles, vehicles
Dane BadawczeKolbudy 2021 W - video data - pedestrian, bicycles, vehicles
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Lubraniec 2020 - video data - pedestrian, bicycles, vehicles
Dane BadawczeLubraniec 2020 - video data - pedestrian, bicycles, vehicles
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Nowa Sól 2017 - video data - pedestrian, bicycles, vehicles
Dane BadawczeNowa Sól 2017 - video data - pedestrian, bicycles, vehicles
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Bielawa 2019 - video data - pedestrian, bicycles, vehicles
Dane BadawczeBielawa 2019 - video data - pedestrian, bicycles, vehicles
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Wołów 2019- video data - pedestrian, bicycles, vehicles
Dane BadawczeWołów 2019 - video data - pedestrian, bicycles, vehicles
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Błaszki 2021- video data - pedestrian, bicycles, vehicles
Dane BadawczeBłaszki 2021- video data - pedestrian, bicycles, vehicles
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Investigation of low-temperature cracks on selected national roads and motorways in Poland 2020
Dane BadawczeThe dataset contains video investigation and records of 68 road sections in various parts of Poland. Videos were recorded with the use of two cameras: 1) mounted in front of measurement vehicle, which was focused on overall view of road and 2) which was focused on pavement surface. The records are categorized according to the ID of the section given...