A5022014940- Wildlife-Road Interactions and Conservation
- Wildlife Ecology and Conservation
- Traffic and Road Safety
- Animal Disease Management and Epidemiology
- Transportation Systems and Logistics
- Rangeland and Wildlife Management
- Landslides and related hazards
- Injury Epidemiology and Prevention
- Zoonotic diseases and public health
- Automated Road and Building Extraction
- Computational Fluid Dynamics and Aerodynamics
- Fire effects on ecosystems
- Navier-Stokes equation solutions
- Urban Transport and Accessibility
- Yersinia bacterium, plague, ectoparasites research
- Avian ecology and behavior
- Bacillus and Francisella bacterial research
- Noise Effects and Management
- Risk and Safety Analysis
- Remote Sensing and LiDAR Applications
- Tree Root and Stability Studies
- Advanced Decision-Making Techniques
- Geotechnical Engineering and Analysis
- Advanced Optimization Algorithms Research
- Evaluation Methods in Various Fields
Transport Research Centre
2015-2024
Palacký University Olomouc
2014-2019
A number of traffic crash databases at present contain the precise positions and dates these events. This feature allows for detailed spatiotemporal analysis patterns. We applied a clustering method identification hotspots to rural parts primary roads in Czech road network (3,933 km) where 55,296 crashes occurred over 2010 – 2018. The data were analyzed using 3-year time window which moved forward with one-day step as an elementary temporal resolution. behavior could therefore be great...
Millions of wild animals are killed annually on roads worldwide. During spring 2020, the volume road traffic was reduced globally as a consequence COVID-19 pandemic. We gathered data wildlife-vehicle collisions (WVC) from Czechia, Estonia, Finland, Hungary, Israel, Norway, Slovenia, Spain, Sweden, and for Scotland England within United Kingdom. In all studied countries WVC statistics tend to be dominated by large mammals (various deer species boar), while information smaller well birds less...
ABSTRACT Effective measures reducing risk of animal‐vehicle collisions (AVC) require defining high‐risk locations on roads where AVCs occur. Previous studies examined factors explaining individual AVCs; however, some can form hotspots (i.e., clusters AVCs) that be explained by local factors. We therefore applied a novel kernel density estimation (KDE) method to for the Czech Republic from October 2006 December 2011 identify along roads. Our main goal was and their effect non‐random...
Wildlife-vehicle collisions (WVCs) pose a serious global issue. Factors influencing the occurrence of WVC along roads can be divided in general into two groups: spatially random and non-random. The latter group consists local factors which act at specific places, whereas former globally acting factors. We analyzed 27,142 records (roe deer wild boar), took place between 2012 2016 on Czech roads. Statistically significant clusters WVCs were identified using clustering (KDE+) approach. Local...
An early warning system Stromynazeleznici.cz (trees on railway tracks) has been developed to assist the national rail infrastructure administrator (Správa železnic, SZ) in managing hazard of tree falls. A forecast tree-fall a 3-hour basis for following three days is provided. The model incorporates data from weather forecasts (Aladin model) and susceptibility layer which delimits locations where falling trees are capable crossing tracks.The prepared raster normalized...
Roadkill is widely recognized as one of the primary negative effects roads on many wildlife species and also has socioeconomic impacts when they result in accidents. A comprehensive dataset roadkill locations essential to evaluate factors contributing risk enhance our comprehension its impact populations dimensions. We undertook a compilation records, encompassing both published unpublished data gathered from road surveys or opportunistic sources. GLOBAL ROADKILL DATA includes 208,570...
Disruptions of railway traffic have many reasons. Tree falls onto tracks or overhead lines rank among the most common causes disruptions a natural origin. 2039 tree-fall events, containing up to 70 individual trees per event, were registered on Czech network between 2012 and 2015. 32% them directly caused by 14 weather extremes during which more than 20 concurrent events registered. Moreover, 12 train derailments due fallen railways within same period. We combined land use data along tree...
Abstract The aim of this study was to identify landscape-related factors which could explain the concentration traffic crashes with large ungulates in a forest environment. We worked ungulate-vehicle collisions took place on Czech road network period 2014–2016 using application Srazenazver.cz. With KDE+ method, we chose most significant hotspots linkage forest. For comparison randomly selected control localities outside (i.e., very low level collisions) but still area. A set photos were...
We present the ROCA (ROad Curvature Analyst) software, in form of an ESRI ArcGIS Toolbox, intended for vector line data processing. The software segments road network into tangents and horizontal curves. Horizontal curve radii azimuth are then automatically computed. Simultaneously, additional frequently used section characteristics calculated, such as sinuosity a (detour ratio), number turns along individual average cumulative angle section. identification curves is based on naïve Bayes...
Autopsy reports of 119 cyclists who died in two Czech regions between 1995 and 2013 as a result traffic crashes were studied. In all the study cases, pathologists analyzed whether helmet could have helped survive crash or not. The circumstances from police then evaluated. results indicate that helmets most cases single-vehicle when fell off their bicycles hit obstacles certain an intracranial injury was primary cause death. Altogether 44 (37%) this survived if they had been wearing during...
Many approaches have been developed in order to mitigate wildlife-vehicle collisions (WVC), their causes and consequences. Reliable data on the amount location of killed animals along roads are therefore necessary. The existing WVC databases usually, however, far from complete. This underreporting problems when identifying riskiest places a transportation infrastructure. can distort results hotspots determination. In this work, we simulated identification stability under various rates...
Abstract Global change has manifested itself as climate warming in Central Europe recent decades. Average daily air temperatures increased by an average of 2 °C between 1982 and 2018. Air temperature changes have affected the timing vegetation periods (phenophases) also influenced behaviour animals. We worked with data on wildlife-vehicle crashes (WVC) recorded Czech Police period 1982–2019. Three peaks can usually be observed (spring, summer, autumn) WVC time series. Eighty percent these...
Improving the road network according to principles of self-explaining roads is a promising way increase level safety; however, there are no universal guidelines on how measure and improve performance existing roads. To apply this approach Czech national roads, present study was conducted, consisting five steps: ( a) automated segmentation into tangents horizontal curves; b) collection floating car data calculation speed; c) development multivariate speed models for estimation speed,...