scholarly journals Museum Work as Part of the Present – the Past is the Present, the Present is the Past

1970 ◽  
pp. 93
Author(s):  
Kirsi Liimatainen

Lilja and Olavi Sallinen set up the Mobilia Foundation in 1986 to support the operation of the commercially run Vehoniemi Car Museum and the Finnish Museum of Historical Military and Special Vehicles. In 1991, the financing of the Mobilia Foundation was transferred to public organizations when the Finnish Vehicle Administration, Kangasala municipality, the Ministry of Defence, and the Finnish Road Administration (Finnra) joined the foundation and agreed to fund a road traffic museum with a wider scope of operation. At this juncture, the Road Traffic Museum became one of the foundation’s museums, joining the two earlier museums. 

2020 ◽  
Vol 53 ◽  
pp. 13-31
Author(s):  
Rajnhardt Kokot

On criminal-law issues of the assassment of an offender fleeing the scene of an traffic crimeOn the grounds of criminal-law research, the article tries to conduct a dispute analysis of the issues of a legal evaluation of “the fleeing” of a road traffic participant from the scene of the communication event. The subject of the analysis is not only the concept of “the escape” — its subjective aspect — but also its perception on the grounds of the past and the presently applicable legal solutions. Attention was drawn to the change in function that these circumstances fulfilled and to how, within years, its influence on justice in cases of communication crimes — from the circumstances restricting the dimension of punishment in the phase of judicial substantiation, via creation of the marks of the qualified type of forbidden act, to a general cumulative premise of extraordinary restriction of punishment. One of the leading ideas of this work is the case of the ratio legis regulation of the fleeing of the road traffic participant from the scene of the communication event. In light of the accepted legal solutions it is unclear what determines its object of protection, and so the protection of which legal goods this regulation serves.


2018 ◽  
Vol 178 ◽  
pp. 09013
Author(s):  
Lucian Tarnu ◽  
Alina Gligor ◽  
Cristian Deac

Starting from a new study on carbon monoxide and noise pollution levels in an important crossroads area of the city of Sibiu, Romania, the current paper uses the data to compare with data obtained during past studies carried out on the same area, allowing an assessment of the evolution of the two pollution indicators over time. The recent study, carried out over a two-week period in November 2017 both during the peak morning hours and at midday, combined a video-based vehicle count with measurements of the carbon monoxide and of the noise level, respectively. The data comparison reveals not only a worsening of the pollution levels in the centre of Sibiu over the past few years and should allow the determining of the best methods and means for reducing the level of the pollutants, possibly in correlation with the improvement of the road traffic conditions.


2018 ◽  
Vol 17 ◽  
pp. 03002
Author(s):  
Haocun Dong ◽  
Jiaqi Yuan ◽  
Zhongguo Nie

Based on the uncertainty theory, a corresponding uncertainty analysis method for speed calculation model for the road traffic accidents of vehicle impact is set up.


1968 ◽  
Vol 41 (4) ◽  
pp. 890-894
Author(s):  
E. M. Bevilacqua ◽  
E. P. Percarpio

Abstract In an effort to achieve uniformity in testing and reporting skid resistance as a necessary preliminary to attempts to make improvements in roads on a rational basis, cooperative efforts have been underway over the past several years to standardize apparatus and equipment. One part of this effort has been the designation of a standard tire (ASTM E249-64T) for skid resistance testing. At the time this standard was set up important factors in skid resistance were not fully known and a composition was chosen on the basis that it was representative of actual tread stocks which have been used and had skid resistance shown by experience to be satisfactory. We have recently described evidence that the skid resistance of tires on real roads can be described absolutely in terms of properties of the tread stock which can be measured readily in the laboratory. In the course of this work we have further found evidence that the proposed standard tire is not as sensitive to variation in properties of the road as others which might be used. We have also shown that important properties of the road surface can be measured without a priori knowledge of the character of the road by the use of more than one rubber composition at the same location. Finally, we have observed that speed sensitivity of friction on road surfaces can be determined by low speed measurements. This report is therefore written to suggest that consideration be given to revision of procedures currently in view to take advantage of advances in our present state of knowledge. Since the recommendations constitute a substantial departure, they are not set forth here in specific detail, but their basis presented for consideration.


2020 ◽  
Author(s):  
Pierre Lepetit ◽  
Cécile Mallet ◽  
laurent Barthes

<p>The road traffic is highly sensitive to weather conditions. Accumulation of snow on the road can cause important safety problems. But road conditions monitoring is as hard as critical: in mid-latitude countries, on the one hand, the spatial variability of snowfall is high and on the other hand, accurate characterization of snow accumulation mainly relies on costly sensors.</p><p>In recent decades, webcams have become ubiquitous along the road network. The quality of these webcams is variable but even low-resolution images capture information about the extent and the thickness of the snow layer. Their images are also currently used by forecasters to refine their analysis. The automatic extraction of relevant meteorological information is hence very useful.</p><p>Recently, generic and efficient computer vision methods have emerged. Their application to image-based weather estimation has become an attractive field of research. However, the scope of existing work is generally limited to high-resolution images from one or a few cameras.</p><p>In this study, we show that for a moderate effort of labelling, recent Machine Learning approaches allow us to predict quantitative indices of the snow depth for a large variety of webcam settings and illumination.</p><p>Our approach is based on two datasets. The smallest one contains about 2.000 images coming from ten webcams that were set up near sensors devoted to snow depth measurements.</p><p>The largest one contains 20,000 images coming from 200 cameras of the AMOS dataset. Meteorological standard rules of human observation and the specifics of the webcams have been taken into account to manually label each image. These labels are not only about the thickness and the extent of the snow layer but also describe the precipitation (rain or snow, presence of streaks), the optical range and the foreground noise. Both datasets contain night images (45%) and at least 15% of images corrupted by foreground noise (filth, droplets, and snowflakes on the lens).</p><p> </p><p>The labels of the AMOS subset allowed us to train ranking models for snow depth and visibility using a multi-task setting. The models are then calibrated on the smallest dataset. We tested several versions, built from pre-trained CNNs (ResNet152, DenseNet161, and VGG16).</p><p>Results are promising with up to 85% accuracy for comparison tasks, but a 10% decrease can be observed when the test webcams have not been used during the training phase.</p><p>A case study based on a widespread snow event over the French territory will be presented. We will show the potential of our method through a comparison with operational model forecasts.</p>


2021 ◽  
Vol 1 (50) ◽  
pp. 113-122
Author(s):  
Kostian N ◽  
◽  
ŚMIESZEK M ◽  

Transport flows, which go through the street-road grid of the city, in combination with external factors that affect their movement, set up the system, the operation of which requires adjustment to optimal modes. The article proposes an approach to evaluate the efficiency of traffic organization in terms of urban mobility according to the criteria of their energy efficiency and productivity. The approach is based on the principles of morphological analysis of the traffic flow system, which identifies five main functional elements of the system: car, traffic flow, road, traffic controls and traffic environment. Twenty-two significant morphological features, both quantitative and qualitative, have been identified for morphological elements, for which variants of their implementation have been set. Quantitative meters have been identified for qualitative features, which will allow the synthesis of typical system structures and determine their optimal modes of operation. The total number of possible structures of the system reaches 1,7496·1014. The morphological characteristics unambiguously correspond to the parameters of the system of objective functions, the increments of which during the solution of the optimization problem are components of the integrated criterion of vehicle efficiency. Driving vehicles in optimal conditions will reduce energy consumption and increase their productivity, reduce traffic congestion, improve the environmental condition of the roadside environment and reduce the level of road hazards. The results of morphological analysis should be used in the process of statistical analysis of system parameters in order to develop adequate nonlinear mathematical models with set of output parameters to control the current and forecast future conditions of the system at different levels of detail of the road network. KEYWORDS: MORPHOLOGICAL ANALYSIS, TRANSPORT FLOW, EFFICIENCY OF VEHICLES, ENERGY CONSUMPTION, PRODUCTIVITY.


Author(s):  
Amolkirat Singh ◽  
Guneet Saini

Many people lose their life and/or are injured due to accidents or unexpected events taking place on road networks. Besides traffic jams, these accidents generate a tremendous waste of time and fuel. Undoubtedly, if the vehicles are provided with timely and dynamic information related to road traffic conditions, any unexpected events or accidents, the safety and efficiency of the transportation system with respect to time, distance, fuel consumption and environmentally destructive emissions can be improved. In the field of computer and information science, Vehicular Ad hoc Network (VANET) have recently emerged as an effective tool for improving road safety through propagation of warning messages among the vehicles in the network about potential obstacles on the road ahead. VANET is a research area which is in more demand among the researchers, the automobile industries and scientists to discover about the loopholes and advantages of the vehicular networks so that efficient routing algorithms can be developed which can provide reliable and secure communication among the mobile nodes.In this paper, we propose a Groundwork Based Ad hoc On Demand Distance Vector Routing Protocol (GAODV) focus on how the Road Side Units (RSU’s) utilized in the architecture plays an important role for making the communication reliable. In the interval of finding the suitable path from source to destination the packet loss may occur and the delay also is counted if the required packet does not reach the specified destination on time. So to overcome delay, packet loss and to increase throughput GAODV approach is followed. The performance parameters in the GAODV comes out to be much better than computed in the traditional approach.


2021 ◽  
Vol 13 (12) ◽  
pp. 6594
Author(s):  
Ahmad Adeel ◽  
Bruno Notteboom ◽  
Ansar Yasar ◽  
Kris Scheerlinck ◽  
Jeroen Stevens

The incompatibility between the microscale-built environment designs around mass transit stations and stakeholders’ preferences causes dissatisfaction and inconvenience. The lack of a pedestrian-friendly environment, uncontrolled development patterns, traffic and parking issues make the street life vulnerable and unattractive for users, and affect the mass transit usage. How to design the streetscapes around mass transit stations to provide a user-friendly street environment is a crucial question to achieve sustainable transit-oriented development goals. To recognize the specific attributes of streetscape environment relevant in local context of BRT Lahore, this paper presents the results of a visual preference experiment in which nine attributes of built environment were systematically varied across choice sets. Multinomial logit models were set up to identify the preferences of three target groups: BRT users, commercial building users and residents at different locations. The research indicates that not only the road-related factors (bike lane and sidewalk widths, crossings facilities, street greenery) have a significant influence on people’s preference but also that building heights, and the typology of buildings and housing projects around BRT corridor have shaped these preferences. When planning and designing urban design projects around mass transit projects, these significant attributes should be considered.


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