Investigation and Remediation of the Cavern in the Vrata Tunnel on the Zagreb – Rijeka Highway (Croatia)

In the Dinaric karst system in Croatia some 11500 speleological objects have been explored so far, more than 1000 of which were discovered during construction works. Such speleological objects without natural entrance on the terrain surface (which are called „caverns“) have been discovered on the construction sites of the highways. Over the past twenty years they have been systematically investigated and treated. A special kind of remediation was conducted in the cavern’s large hall of the „Vrata“ tunnel on the Zagreb – Rijeka highway. Due to size, shape, cavern’s position and hydrogeological parameters within the karst system it was necessary to design and construct a 58 m bridge over the cavern. In addition, the cavern’s vault had to be reinforced and stabilized, as the overburden was very thin. The beam-and –stringer grid with special anchors was used. The cavern’s rehabilitation in the „Vrata“ tunnel was a unique undertaking, and the bridge (without piers) is the cavern’s longest bridge in the world

Motor vehicles overtaking cyclists on two-lane rural roads: Analysis on speed and lateral clearance

Two-lane rural roads in Spain accommodate significant bicycle traffic volumes, mainly associated to sport and leisure activities. Motor vehicles' higher speed, weight and volume, compared to cyclists, represent a serious safety concern when overtaking a bicycle. Spanish traffic rules determine a minimum 1.5. m lateral distance.This research characterised 2928 overtaking manoeuvres in the overtaking lateral clearance between motor vehicle and bicycle, as well as in the motor vehicle speed, in contrast with previous research. Two instrumented bicycles were equipped with laser rangefinders, a GPS tracker and three video cameras. They rode along seven rural road segments at a speed between 15 and 25. km/h, centred on the paved shoulder, or as close as possible to the outer edge. Besides, this methodology allowed the characterisation of the overtaken vehicle type, its left lane occupation as well as its interaction with opposing traffic flow. For each session, rider's general risk perception was also registered.The analysis suggested that lateral clearance is not the only factor that influenced rider's risk perception, although current standards are only related to it. On the contrary, a combined factor of lateral clearance, vehicle type and vehicle speed had a more significant correlation with the perceived risk. This agreed with literature models of transient aerodynamic forces between overtaking and overtaken vehicles. Results showed that effect of heavy vehicles on bicyclists was also strong. In addition to this, the combined factor of clearance and speed was higher on tangent sections where overtaking was permitted.Llorca Garcia, C.; Ángel-Domènech, A.; Agustin Gomez, F.; García García, A. (2017). Motor vehicles overtaking cyclists on two-lane rural roads: Analysis on speed and lateral clearance. Safety Science. 92:302-310. doi:10.1016/j.ssci.2015.11.005S3023109

Remote Sensing Applications for Abating Aircraft–Bird Strike Risks in Southeast Brazil

The rising number of aircraft collisions with birds requires the development of appropriate mitigation measures to control their populations in the vicinity of airports. The black vulture (Coragyps atratus; vultures) is considered one of the most dangerous species for aviation in Brazil. To better understand the spatial distribution patterns of flying vultures and the risks they may pose to aviation, we studied natural and anthropogenic superficial factors and then numerically estimated and mapped the risk of collision with birds over the Airport Safety Area (ASA) for the Amarais Airport and Presidente Prudente Airport in the southeast part of Brazil. To conduct our research, we surveyed soaring black vultures monthly between September 2012 and August 2013 from 26 points within 20-km ASA zones. We obtained the environmental parameters (i.e., relief, surface temperature, surface covering type, and anthropogenic pressure) from satellite imagery and georeferenced them with our vulture survey. The tabulated data were examined using Spearman’s rank correlation and principal component analysis to determine if any the relationships existed between vulture flight patterns and ASA environmental characteristics. We found that the contrast in surface temperatures correlated well with the intensity of vulture soaring flights. Vultures tend to soar using the strongest thermals in their surroundings. Relief parameters, including altitude above sea level, slope exposure, and inclination, were not related with the vulture soaring activity. Water bodies and roadways were the most attractive landscapes for soaring vultures. We recorded the least number of soaring vultures over the uninterrupted urbanized lands. However, the scattered enclaves of urban settlement surrounded by natural and rural landscapes were selected by soaring birds. To mitigate the bird strike risk in ASA zones, we propose that managers should plot the objects generating thermals that attract vultures on risk assessment maps and reroute aviation to avoid them

STREETS, WALKS, AND OPEN STORAGE AREAS Paragraph

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Multi-level Safety Performance Functions For High Speed Facilities

High speed facilities are considered the backbone of any successful transportation system; Interstates, freeways, and expressways carry the majority of daily trips on the transportation network. Although these types of roads are relatively considered the safest among other types of roads, they still experience many crashes, many of which are severe, which not only affect human lives but also can have tremendous economical and social impacts. These facts signify the necessity of enhancing the safety of these high speed facilities to ensure better and efficient operation. Safety problems could be assessed through several approaches that can help in mitigating the crash risk on long and short term basis. Therefore, the main focus of the research in this dissertation is to provide a framework of risk assessment to promote safety and enhance mobility on freeways and expressways. Multi-level Safety Performance Functions (SPFs) were developed at the aggregate level using historical crash data and the corresponding exposure and risk factors to identify and rank sites with promise (hot-spots). Additionally, SPFs were developed at the disaggregate level utilizing real-time weather data collected from meteorological stations located at the freeway section as well as traffic flow parameters collected from different detection systems such as Automatic Vehicle Identification (AVI) and Remote Traffic Microwave Sensors (RTMS). These disaggregate SPFs can identify real-time risks due to turbulent traffic conditions and their interactions with other risk factors. In this study, two main datasets were obtained from two different regions. Those datasets comprise historical crash data, roadway geometrical characteristics, aggregate weather and traffic parameters as well as real-time weather and traffic data. iii At the aggregate level, Bayesian hierarchical models with spatial and random effects were compared to Poisson models to examine the safety effects of roadway geometrics on crash occurrence along freeway sections that feature mountainous terrain and adverse weather. At the disaggregate level; a main framework of a proactive safety management system using traffic data collected from AVI and RTMS, real-time weather and geometrical characteristics was provided. Different statistical techniques were implemented. These techniques ranged from classical frequentist classification approaches to explain the relationship between an event (crash) occurring at a given time and a set of risk factors in real time to other more advanced models. Bayesian statistics with updating approach to update beliefs about the behavior of the parameter with prior knowledge in order to achieve more reliable estimation was implemented. Also a relatively recent and promising Machine Learning technique (Stochastic Gradient Boosting) was utilized to calibrate several models utilizing different datasets collected from mixed detection systems as well as real-time meteorological stations. The results from this study suggest that both levels of analyses are important, the aggregate level helps in providing good understanding of different safety problems, and developing policies and countermeasures to reduce the number of crashes in total. At the disaggregate level, real-time safety functions help toward more proactive traffic management system that will not only enhance the performance of the high speed facilities and the whole traffic network but also provide safer mobility for people and goods. In general, the proposed multi-level analyses are useful in providing roadway authorities with detailed information on where countermeasures must be implemented and when resources should be devoted. The study also proves that traffic data collected from different detection systems could be a useful asset that should be utilized iv appropriately not only to alleviate traffic congestion but also to mitigate increased safety risks. The overall proposed framework can maximize the benefit of the existing archived data for freeway authorities as well as for road users

Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio