The effects of using passing beams during the day in real traffic conditions

2018 ◽  
Vol 51 (7) ◽  
pp. 1108-1117
Author(s):  
P Kępa ◽  
W Żagan
Keyword(s):  
Road Safety ◽  
Main Part ◽  
Field Tests ◽  
Traffic Conditions ◽  
Oncoming Vehicle ◽  
Daytime Running Lights ◽  
The Impact ◽  
Real Traffic

This paper presents a study on the implications for road safety of the use of passing beams during the day. The genesis of the problem and conditions that have led to the use of passing beams by vehicles during the day is presented first. Then, the photometric requirements for passing beams are evaluated in terms of their signal role, comparing them with the requirements for daytime running lights. The main part of this paper presents a report on field tests carried out under real road conditions. The tests were done in order to measure the impact of using passing beams by day on the distance at which the oncoming vehicle could be detected. Also, the correctness of the estimation of relative positions of oncoming vehicles at the same or different distances was examined with different combinations of passing beams on or off in the tested vehicles. The research confirms the effectiveness of using passing beams during the day and the need to harmonize the obligation to use passing beams.

scholarly journals Incorrect U-turning of vehicles at intersections with traffic lights

2021 ◽  
Vol 57 (1) ◽  
pp. 131-145
Author(s):  
Tomasz Krukowicz ◽  
Krzysztof Firląg ◽  
Ewelina Sterniczuk
Keyword(s):  
Road Safety ◽  
Road Network ◽  
Field Tests ◽  
Video Observation ◽  
Traffic Lights ◽  
The Road ◽  
Vehicle Type ◽  
Traffic Conditions ◽  
Road Geometry ◽  
The Impact

The article describes the problem of incorrect U-turns at intersections with traffic lights. Statistical data on road incidents related to U-turns are presented. Then, the international, Polish and foreign regulations concerning u-turning at intersections with traffic lights were analysed. The situations in which U-turns are allowed or prohibit-ed are presented. The differences in design rules for junctions with U-turns in different countries have been taken into account. A literature review was also carried out that outlined various current U-turns around the world, including the design of turning places, the location of turning points, road safety when turning, and the impact of U-turns on traffic conditions. The further part of the article presents the results of field tests of the U-turn at 6 intersections located in Warsaw. The research was conducted by video observation. The results were broken down by age, gender, place of regis-tration of the vehicle, type of vehicle, and the effect of incorrect turning. Data on road incidents at the examined intersections were also analysed. Data from the database kept by the Police were compared with the measure-ment data. A regression analysis was performed between the types of recorded incorrect manoeuvres and the number of accidents at the intersection. The results of statistical analysis carried out do not indicate the existence of a relationship between the number of identified incorrect U-turns and the number of road incidents at inter-sections. Based on the research, it was found that the phenomenon of incorrect U-turns at intersections with traffic lights is common, and the use of directional (protected) signals does not eliminate this phenomenon. The conclusions indicate practical solutions to reduce the number of illegally U-turning vehicles. The recommended actions are related to the stage of shaping the road network, designing the road geometry and organizing traffic and traffic lights, and auditing road safety, as well as the stage of road operation.

scholarly journals Structural Responses Data Measured in an Instrumented Flexible Pavement

2020 ◽  
Vol 9 (1) ◽  
pp. 1-13
Author(s):  
Md Rashadul Islam ◽  
Rafiqul A. Tarefder
Keyword(s):  
New Mexico ◽  
Field Tests ◽  
Flexible Pavement ◽  
Temperature Variations ◽  
Traffic Conditions ◽  
Structural Responses ◽  
Different Depths ◽  
Weather Variations ◽  
Strain Responses ◽  
Real Traffic

 This study presents and analyses the stress-strain responses data measured under real traffic conditions measured between Oct. 2012 to Oct. 2013 on an instrumented flexible pavement section on Interstate 40 (I-40) in the state of New Mexico, USA. Some weather variations data such as moisture and temperature variations at different depths of the pavement over the entire year are also discussed. The moduli of different layers determined using laboratory and field tests are also presented. It is expected that results of this study will be greatly useful to understand the behaviour of flexible pavement. The data presented in this study can be used to validate any constitutive or numerical model developed by readers.

scholarly journals REDUCING A POSSIBILITY OF TRANSPORT CONGESTION ON FREEWAYS USING RAMP CONTROL MANAGEMENT

Transport ◽  
2017 ◽  
Vol 32 (3) ◽  
pp. 314-320 ◽  
Author(s):  
Roman Lagerev ◽  
Denis Kapski ◽  
Marija Burinskienė ◽  
Andrius Barauskas
Keyword(s):  
Road Safety ◽  
Demand Management ◽  
Ramp Metering ◽  
Lane Changes ◽  
Traffic Conditions ◽  
Access Control Management ◽  
The Impact ◽  
Ramp Control ◽  
Control Management

Merge junctions are the key elements in the freeway system, as they are likely to function as bottlenecks. Investigations into breakdown occurrence at ramp junctions have demonstrated that when the groups of several vehicles following each other enter the freeway from the ramp, they are expected to create ‘turbulence’ resulting from lane changes, decelerations of vehicles on the mainline and inevitably by the cars merging from the on-ramp. This turbulence can lead to breakdown when the level of mainline demand is adequately high. In other words, the impact of a ramp vehicle on capacity is higher than that of a mainline vehicle, which indicates that a part of vehicles will simultaneously occupy two lanes during the process of changing them thus momentarily decreasing the capacity of the link. This feature becomes particularly important near bottlenecks where it might reduce the already limited throughput. The article introduces the main approaches, methodology, principles and stages of transport demand management on freeways that are aimed at improving the operation quality of transport facilities, including road safety. The technique allows evaluating and optimizing a Ramp-Metering (RM) concept from the viewpoint of minimizing the length of queues on ramps and a possibility of transport congestion. The proposed algorithm estimates the probability of starting congestion formation on the ramp using objective information on traffic conditions in each segment of the highway, which is based on the criterion for vehicle density on the lane. The last chapter shows the examples of traffic flow optimization on Western bypass ramps in Vilnius comparing two strategies for access control management using one or several vehicles per lane. Conclusions, trends and work on future investigations are presented at the end of the article.

LINEAR ANALYSIS AS THE BEST METHOD OF DETECTION DANGEROUS ROAD SECTIONS

2019 ◽  
pp. 50-56
Author(s):  
Liydmila Nagrebelna
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Accurate Determination ◽  
Linear Analysis ◽  
Road Accident ◽  
Accident Analysis ◽  
Traffic Conditions ◽  
The Impact

The main factors affecting road safety are outlined. The main methods of road accident analysis are presented, which will allow accurate determination of areas of high danger. By distributing road traffic accidents along the length of the road, it is possible to identify such areas and areas where road conditions have a dominant influence on the emergence of accidents, which is important in planning measures to improve traffic safety. It is proved that the effectiveness of the result depends on the precisely defined areas where first of all it is necessary to implement measures to improve road safety. It is completely impossible to predict the occurrence of traffic accidents because many different factors influence them. These factors relate both to traffic conditions on the motorway and to the impact of the traffic flow itself, a separate vehicle, a human factor, weather conditions etc. Therefore, there is a need for a comprehensive approach in solving a complex problem is increasing road safety. The purpose of this article is to: reduce the number of accidents and their victims on the highways of Ukraine by means of the priority implementation of measures to improve road conditions and improve the organization of traffic on highway sections of high danger identified by the results of linear analysis of accidents. Linear accident analysis provides an opportunity not only to effectively and reasonably plan events, but also to evaluate the outcome of their implementation. Reducing the number of traffic accidents and their victims in highway sections of high danger identified by the results of linear accident analysis is the best method for creating safe traffic conditions. Purposeful financing of measures aimed primarily at eliminating the most dangerous in terms of accident rate of road sections and the main risk factors of an accident will allow to reduce the number of accidents and the severity of their consequences. Keywords: road safety, linear analysis, methods of analysis.

Experimental Studies of Daytime Running Light Design Factors

1988 ◽  
Vol 32 (15) ◽  
pp. 967-970
Author(s):  
Clifford C. Baker ◽  
Mark Kirkpatrick ◽  
Christopher C. Heasly
Keyword(s):  
Experimental Studies ◽  
Field Tests ◽  
The United States ◽  
Design Parameters ◽  
Accident Rate ◽  
Oncoming Vehicle ◽  
Discomfort Glare ◽  
Daytime Running Lights ◽  
Design Factors ◽  
Research And Design

Data from accident rate field tests have suggested that the use of Daytime Running Lights (DRL) on vehicles may have potential for reduction of collision likelihood and severity. With regard to the possible introduction of DRL in the United States, a number of research and design issues have arisen. These involve effects of design parameters on vehicle conspicuity under daylight conditions including central lamp intensity, beam distribution, lamp area, lamp color, number of lamps, and lamp/background contrast. Experiments were conducted to determine effects of DRL design parameters on peripheral detection of an oncoming vehicle under daylight conditions, detection of operating turn signals in the presence of a masking DRL, and degree of discomfort glare produced by DRL under twilight conditions.

Case study: Prediction and field tests of railway noise and effects of a low-height noise barrier

2020 ◽  
Vol 68 (4) ◽  
pp. 303-314
Author(s):  
Yuna Park ◽  
Hyo-In Koh ◽  
University of Science and Technology, Transpo ◽  
University of Science and Technology, Transpo ◽  
University of Science and Technology, Transpo ◽  
...  
Keyword(s):  
High Speed ◽  
Field Tests ◽  
Residential Areas ◽  
Railway Systems ◽  
Railway Noise ◽  
Sound Levels ◽  
Noise Barrier ◽  
The Difference ◽  
Reduction Effect ◽  
The Impact

Railway noise is calculated to predict the impact of new or reconstructed railway tracks on nearby residential areas. The results are used to prepare adequate counter- measures, and the calculation results are directly related to the cost of the action plans. The calculated values were used to produce noise maps for each area of inter- est. The Schall 03 2012 is one of the most frequently used methods for the production of noise maps. The latest version was released in 2012 and uses various input para- meters associated with the latest rail vehicles and track systems in Germany. This version has not been sufficiently used in South Korea, and there is a lack of standard guidelines and a precise manual for Korean railway systems. Thus, it is not clear what input parameters will match specific local cases. This study investigates the modeling procedure for Korean railway systems and the differences between calcu- lated railway sound levels and measured values obtained using the Schall 03 2012 model. Depending on the location of sound receivers, the difference between the cal- culated and measured values was within approximately 4 dB for various train types. In the case of high-speed trains, the value was approximately 7 dB. A noise-reducing measure was also modeled. The noise reduction effect of a low-height noise barrier system was predicted and evaluated for operating railway sites within the frame- work of a national research project in Korea. The comparison of calculated and measured values showed differences within 2.5 dB.

scholarly journals 8A.007 Evaluating the impact of a road safety education project in Madagascar schools

2021 ◽  
Author(s):  
Paolo Perego ◽  
Federica Biassoni ◽  
Ana Luisa Silva ◽  
Sam Clark ◽  
Jesse Randrianarisoa
Keyword(s):  
Road Safety ◽  
Safety Education ◽  
Education Project ◽  
The Impact

scholarly journals Alternative Control of Phragmidium rubi-idaei Infecting Two Rubus Species

Plants ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1452
Author(s):  
Raluca-Maria Pârlici ◽  
Aurel Maxim ◽  
Stefania Mirela Mang ◽  
Ippolito Camele ◽  
Lucia Mihalescu ◽  
...  
Keyword(s):  
Organic Farming ◽  
Plant Pathogens ◽  
Field Experiments ◽  
Control Sample ◽  
Field Tests ◽  
In Vitro Tests ◽  
Rust Disease ◽  
Conidia Germination ◽  
The Impact

Organic berry plantations have been gaining popularity among farmers during recent years. Even so, farmers experience serious challenges in disease control management, which is a concern in organic farming. Phragmidiumrubi-idaei (DC) P. Karst is the pathogen responsible for blackberry and raspberry rust disease, one of the most present and active diseases in plantations. The antifungal certified products found on the organic farming market offer the opportunity for an efficient control strategy over plant pathogens in fruit shrub plantations. In this study, 5 natural based products—namely Altosan, Mimox, Canelys, Zitron, and Zeolite—were tested for their fungistatic effect over P. rubi-idaei. The experiments were carried out under laboratory conditions, performing observations over the impact of organic products, used at different concentration levels, on rust conidia germination. Moreover, field experiments were conducted in order to evaluate the efficiency of different treatments for rust control on raspberry (‘Polka’, ‘Veten’ and ‘Heritage’) and blackberry (‘Thorn Free’, ‘Chester’ and ‘Loch Ness’) varieties. Data analysis based on ANOVA tests showed significant differences between the tested variants and the control sample at p < 0.001. Furthermore, LSD test confirmed differences between all substances tested (p < 0.005). The natural products Canelys (formulated with cinnamon) and Zytron (based on citrus extract) have proven the highest inhibitory capacity for conidia germination during in vitro tests registering values of 80.42% and 78.34%, respectively. The same high inhibitory rates against rust pathogen were kept also in the field tests using the same two natural-based products mentioned earlier. In addition, outcomes from this study demonstrated that Zeolite is not recommended for raspberry or blackberry rust control.

scholarly journals Driver Liability Assessment in Vehicle Collisions in Spain

2021 ◽  
Vol 18 (4) ◽  
pp. 1475
Author(s):  
Almudena Sanjurjo-de-No ◽  
Blanca Arenas-Ramírez ◽  
José Mira ◽  
Francisco Aparicio-Izquierdo
Keyword(s):  
Road Safety ◽  
Accurate Estimation ◽  
Main Hypothesis ◽  
Self Organizing Maps ◽  
Safety Measures ◽  
Vehicle Collisions ◽  
Promising Tool ◽  
Visual Clustering ◽  
Open Question ◽  
The Impact

An accurate estimation of exposure is essential for road collision rate estimation, which is key when evaluating the impact of road safety measures. The quasi-induced exposure method was developed to estimate relative exposure for different driver groups based on its main hypothesis: the not-at-fault drivers involved in two-vehicle collisions are taken as a random sample of driver populations. Liability assignment is thus crucial in this method to identify not-at-fault drivers, but often no liability labels are given in collision records, so unsupervised analysis tools are required. To date, most researchers consider only driver and speed offences in liability assignment, but an open question is if more information could be added. To this end, in this paper, the visual clustering technique of self-organizing maps (SOM) has been applied to better understand the multivariate structure in the data, to find out the most important variables for driver liability, analyzing their influence, and to identify relevant liability patterns. The results show that alcohol/drug use could be influential on liability and further analysis is required for disability and sudden illness. More information has been used, given that a larger proportion of the data was considered. SOM thus appears as a promising tool for liability assessment.

Approach to Quantify the Impact of Disruptions on Traffic Conditions using Dynamic Weighted Resilience Metrics of Transport Networks

2021 ◽  
pp. 036119812199866 ◽  
Author(s):  
Elise Henry ◽  
Angelo Furno ◽  
Nour-Eddin El Faouzi
Keyword(s):  
Three Dimensional ◽  
Traffic Load ◽  
Transport Networks ◽  
Traffic Conditions ◽  
Probe Vehicle ◽  
Vehicle Data ◽  
Network Operations ◽  
Network States ◽  
The Impact ◽  
Proper Operation

Transport networks are essential for societies. Their proper operation has to be preserved to face any perturbation or disruption. It is therefore of paramount importance that the modeling and quantification of the resilience of such networks are addressed to ensure an acceptable level of service even in the presence of disruptions. The paper aims at characterizing network resilience through weighted degree centrality. To do so, a real dataset issued from probe vehicle data is used to weight the graph by the traffic load. In particular, a set of disrupted situations retrieved from the study dataset is analyzed to quantify the impact on network operations. Results demonstrate the ability of the proposed metrics to capture traffic dynamics as well as their utility for quantifying the resilience of the network. The proposed methodology combines different metrics from the complex networks theory (i.e., heterogeneity, density, and symmetry) computed on temporal and weighted graphs. Time-varying traffic conditions and disruptions are analyzed by providing relevant insights on the network states via three-dimensional maps.

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