954 resultados para KEEP CLEAR Pavement Markings


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KEEP CLEAR pavement markings are widely used at urban signalised intersections to indicate to drivers to avoid entering blocked intersections. For example, ‘Box junctions’ are most widely used in the United Kingdom and other European countries. However, in Australia, KEEP CLEAR markings are mostly used to improve access from side roads onto a main road, especially when the side road is very close to a signalised intersection. This paper aims to reveal how the KEEP CLEAR markings affect the dynamic performance of the queuing vehicles on the main road, where the side road access is near a signalised intersection. Raw traffic field data was collected from an intersection at the Gold Coast, Australia, and the Kanade–Lucas–Tomasi (KLT) feature tracker approach was used to extract dynamic vehicle data from the raw video footage. The data analysis reveals that the KEEP CLEAR markings generate positive effects on the queuing vehicles in discharge on the main road. This finding refutes the traditional viewpoint that the KEEP CLEAR pavement markings will cause delay for the queuing vehicles’ departure due to the enlarged queue spacing. Further studies are suggested in this paper as well.

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Federal Highway Administration, Washington, D.C.

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Federal Highway Administration, Office of Research, Development and Technology, Washington, D.C.

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Texas Department of Transportation, Austin

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Road features extraction from remote sensed imagery has been a long-term topic of great interest within the photogrammetry and remote sensing communities for over three decades. The majority of the early work only focused on linear feature detection approaches, with restrictive assumption on image resolution and road appearance. The widely available of high resolution digital aerial images makes it possible to extract sub-road features, e.g. road pavement markings. In this paper, we will focus on the automatic extraction of road lane markings, which are required by various lane-based vehicle applications, such as, autonomous vehicle navigation, and lane departure warning. The proposed approach consists of three phases: i) road centerline extraction from low resolution image, ii) road surface detection in the original image, and iii) pavement marking extraction on the generated road surface. The proposed method was tested on the aerial imagery dataset of the Bruce Highway, Queensland, and the results demonstrate the efficiency of our approach.

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Retroreflective pavement markings enhance road safety by increasing visibility of roadway delineation for road users. In most countries, authorities responsible for road safety do not have performance intervention criteria and standards, and rely on fixed-time interval maintenance programs. This practice is undergoing change via the introduction of mobile retroreflectivity recording units. The focus of this study is to investigate the use of standard mobile retroreflectivity recording units and to analyse the observed retroreflectivity data to evaluate the state of pavement markings under investigation. The centreline pavement marking retrorefl/ectivity data collected by Queensland Department of Main Roads using the ECODYN mobile retroreflectivity recording unit are analysed to determine how the factors such as pavement surface type and traffic environment relate to retroreflectivity performance. It has been found that the mobile retroreflectivity recording unit with in-built processing capabilities can be implemented for identifying the requirements of maintenance programs, as well as to relate the observed retroreflectivity with other factors such as pavement surface type and traffic environment. The observed data indicated that there is a disparity between urban and rural roads of southeast Queensland in terms of centreline pavement marking retroreflectivity qualities. Asphalt surfaces, common in urban environments, were found to have average retroreflectivity over 200 mcd/m2/lux, whereas sprayed seal surfaces, common in rural environments, averaged below 170 mcd/m2/lux. About one-third of the roads used in the analysis fell below the generally accepted minimum threshold of 150 mcd/m2/lux at the time of observation.

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Bicycle advisory treatments are used to advise road users of the potential presence of cyclists and of the location where cyclists may be expected to ride on a road. They include pavement markings, warning signs, guide signs, and as such have no regulatory function. The most common type of bicycle advisory pavement markings is the shared lane marking. Other forms of bicycle advisory pavement marking have also been trialled and used in several local jurisdictions. The bicycle awareness zone is an example of such facility which has been trialled and used in southeast Queensland, Australia since the late 1990s. A bicycle awareness zone is similar to shared lane marking in principle but differs in the type of logo and, in some cases, location of its placement on the road. This study assesses the operational and safety issues at three bicycle awareness zone sites by analysing video-assisted observation data collected in 2011 by Queensland Department of Transport and Main Roads, Australia. Of the several applications of bicycle awareness zones, this study only covers a particular application where the centre of the bicycle symbol is placed exactly over the parking edge line. Unlike previous studies, which mostly covered before-and-after evaluations of bicycle advisory pavement markings, the focus of this study is to assess whether the placement of bicycle awareness zone symbols has been successful. The aggregated results from video-assisted observational data show that the cyclists did not always track themselves over the centre of the symbols. Rather, both the cyclists' lateral tracking positions and road user interactions varied with the widths of kerbside parallel parking space. Since the bicycle awareness zone symbols are not positioned on the cyclists' desired line of ride on some roads, their operational effectiveness and safety value are questioned.

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Federal Highway Administration, Implementation Division, Washington, D.C.

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Federal Highway Administration, Office of Research, Washington, D.C.

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Mode of access: Internet.

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Federal Highway Administration, Office of Research, Washington, D.C.

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Federal Highway Administration, Office of Research, Washington, D.C.

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Federal Highway Administration, Traffic Systems Division, Washington, D.C.

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Federal Highway Administration, Implementation Division, Washington, D.C.

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Ohio Department of Transportation, Columbus