Study on Disposition of Plant Landscape along the Highway

2015 ◽  
Vol 744-746 ◽  
pp. 1312-1315
Author(s):  
Liang Hu

Highway landscape road will enhance coordination and harmony with the environment; effectively reduce driver fatigue, so that it remains adequate attention to driving a vehicle, thereby reducing traffic accidents, guarantee safe and smooth road. Highway landscape sequence, spatial form of roadside structures and roads with a minimum length of the curve between studied. Highway Greening emphasize ecological function should be considered, landscaping features, combined with a wide range of perfect coordination function surrounding environment, transport and other ancillary facilities function.

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Gengtian Niu ◽  
Changming Wang

Driver fatigue is the main cause of traffic accidents. How to extract the effective features of fatigue is important for recognition accuracy and traffic safety. To solve the problem, this paper proposes a new method of driver fatigue features extraction based on the facial image sequence. In this method, first, each facial image in the sequence is divided into nonoverlapping blocks of the same size, and Gabor wavelets are employed to extract multiscale and multiorientation features. Then the mean value and standard deviation of each block’s features are calculated, respectively. Considering the facial performance of human fatigue is a dynamic process that developed over time, each block’s features are analyzed in the sequence. Finally, Adaboost algorithm is applied to select the most discriminating fatigue features. The proposed method was tested on a self-built database which includes a wide range of human subjects of different genders, poses, and illuminations in real-life fatigue conditions. Experimental results show the effectiveness of the proposed method.


2021 ◽  
Vol 13 (3) ◽  
pp. 1037
Author(s):  
Radoje Vujadinović ◽  
Jelena Šaković Jovanović ◽  
Aljaž Plevnik ◽  
Luka Mladenovič ◽  
Tom Rye

The paper presents the results of the application of a practical approach for collecting data, which provides a simple, cost efficient, and easily reproducible method that was applied to obtain the necessary data for the status analysis of the Sustainable Urban Mobility Plan (SUMP) for Podgorica, the capital of Montenegro. Important data for the estimation of the existing condition of the traffic system were collected through desk research from the appropriate institutions and organizations. Several surveys and focus group interviews were conducted, in which about 5000 residents of Podgorica participated. In addition to answering questions, residents made numerous suggestions, confirming the correctness of a participatory approach in the new traffic planning paradigm that provides the SUMP with crucial advantages. A manual cordon count of traffic on five bridges for the traffic of the motor vehicles, as well as on two pedestrian-only bridges, was performed by students from the study program Road Traffic, and there are plans to repeat this in the coming years in order to enable more reliable monitoring and evaluation of the obtained data. Contemporary quality management tools such as BYPAD and ParkPAD were also used to assess the status of cycling and parking policy, respectively. It is especially important to emphasize that Podgorica is the first city in the West Balkans, and the fourth city in Europe, in which the ParkPAD tool was applied. A wide range of negative phenomena and trends was identified, like a rapid increase in the number of registered vehicles, an increase in the motorization rate and the number of traffic accidents, increased non-compliance with traffic rules, excessive use of passenger cars and auto-taxi vehicles, insufficient use of unattractive public transport, walking and cycling, etc. Based on the data collected, key challenges in status analysis in Podgorica were identified, which the SUMP should try to overcome.


2021 ◽  
Vol 10 (1) ◽  
pp. 139
Author(s):  
Marta Matamala-Gomez ◽  
Antonella Maselli ◽  
Clelia Malighetti ◽  
Olivia Realdon ◽  
Fabrizia Mantovani ◽  
...  

Over the last 20 years, virtual reality (VR) has been widely used to promote mental health in populations presenting different clinical conditions. Mental health does not refer only to the absence of psychiatric disorders but to the absence of a wide range of clinical conditions that influence people’s general and social well-being such as chronic pain, neurological disorders that lead to motor o perceptual impairments, psychological disorders that alter behaviour and social cognition, or physical conditions like eating disorders or present in amputees. It is known that an accurate perception of oneself and of the surrounding environment are both key elements to enjoy mental health and well-being, and that both can be distorted in patients suffering from the clinical conditions mentioned above. In the past few years, multiple studies have shown the effectiveness of VR to modulate such perceptual distortions of oneself and of the surrounding environment through virtual body ownership illusions. This narrative review aims to review clinical studies that have explored the manipulation of embodied virtual bodies in VR for improving mental health, and to discuss the current state of the art and the challenges for future research in the context of clinical care.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Majid Amirfakhrian ◽  
Mahboub Parhizkar

AbstractIn the next decade, machine vision technology will have an enormous impact on industrial works because of the latest technological advances in this field. These advances are so significant that the use of this technology is now essential. Machine vision is the process of using a wide range of technologies and methods in providing automated inspections in an industrial setting based on imaging, process control, and robot guidance. One of the applications of machine vision is to diagnose traffic accidents. Moreover, car vision is utilized for detecting the amount of damage to vehicles during traffic accidents. In this article, using image processing and machine learning techniques, a new method is presented to improve the accuracy of detecting damaged areas in traffic accidents. Evaluating the proposed method and comparing it with previous works showed that the proposed method is more accurate in identifying damaged areas and it has a shorter execution time.


Author(s):  
Milutin Mrvaljević ◽  
Srbislav Pajić ◽  
Pavle Popović ◽  
Jovan Grujić ◽  
Marko Petrović ◽  
...  

Although the terminal branches of brachial plexus that originate from lateral and medial fasciculus are well protected by muscle mass and vascular-neuronal petal of axilla and upper arm, the number of traumatic damage and injuries increases, according to the published reports of neurosurgeons working on pathology of peripheral nerves, as well as traumatologists, orthopedics, microsurgeons and plastic surgeons. This is certainly contributed by urbanization, industrialization, migration and increased number of traffic accidents. Knowing the microstructure of the peripheral nerve truncus leads to the possibility of applying various techniques of nerve grafting, as well as possibility of re-implantation of detached spinal roots, seen in traction injuries of brachial plexus, in which the mechanism of injury needs to be considered. Considering frequent injuries of terminal branches of lateral and medial fasciculus and a substantial pathology of plexus brachialis, the aim of our research was to study surgical-anatomical relations between terminal branches of medial and lateral fasciculus and substantial morphology of terminal branches of both fasciculi, particularly regarding the place and way of formation, as well as the number of their anastomoses. The studies of the terminal branches of medial and lateral fasciculus on our preparation materials are based on the dissection of axilla and anterior part of the upper arm, on 50 cadavers, adults of both genders, at Institute of Anatomy and Institute of Forensic Medicine at School of Medicine in Belgrade. The way of formation of the terminal branches of lateral fasciculus on our preparation materials was always the same. These branches were usually formed after the bifurcation or diverging of lateral fasciculus to radix lateralis nervi mediani and musculocutaneous nerve. Exceptionally, after fusion of lateral fasciculus and medial root of nervus medianus, there is no bifurcation, and formed nervous truncus is a result of existence of the pre- or postfixational type of brachial plexus. Analyzing our preparation materials, we determined that high bifurcation of lateral fasciculus (LF) exists in 18% of cases and that it is projected in the line of anterior edge of clavicle. Medium high bifurcation of LF is projected in the line of the top of the acromion of scapula and is seen in 61% of all cases. Low bifurcation is usually placed in the line of inferior edge of pectoral minor muscle, in 8% of cases. Fasciculus without bifurcation is noticed in 13% of cases. Measuring the shortest distance between anterior edge of clavicle and the point of bifurcation of LF resulted in a wide range from 0.5 to 9.7 cm, with 4.2 cm average. In cases of transplantation, implantation and re-implantation of nervous trunci of plexus brachialis, it is very important to consider the shape and the thickness of nervous truncus, the number of fasciculi, the number of nerve fibers, as well as the quantity and schedule of peri- and intrafascicular connective tissue, providing the normal irrigation of the nerve. Finally, we can conclude that mentioned facts prompted us to undertake a systematic research of great terminal branches of plexus brachialis that originate from lateral and medial fasciculus, trying to ensure that our anatomical findings receive a comprehensive clinical confirmation.


Author(s):  
A. J. Lloyd ◽  
C. M. Yonge

Collections of some 22,000 female and 6000 male Crangon vulgaris were made throughout the year from the shrimp fisheries of the Severn Estuary and Bristol Channel. All animals were measured.The habits of the species are described; it can withstand a wide range of temperature but, though euryhaline, resembles other Decapoda in the inability to withstand low salinity combined with low temperature.Osmo-regulation is apparently largely inhibited at low temperatures and to a greater extent in the males than the females.Growth rate decreases with increasing age; in the female there is no increase in length when moulting from the ' neuter' to the egg-carrying intermoult. The duration of this intermoult, if spawning is successful, is about double that of the normal intermoult under the same temperature conditions. Growth almost ceases in the winter.Secondary sexual characters are described, especially the differences between the endopodites of the pleopods in the two sexes.Females become mature at a minimum length of 45 mm. in the Channel and seldom less than 50 mm. in the Estuary. The effect of the female sexual cycle on the size of the ovary and the form of the pleopods is described. The process of copulation is described; it can occur in the brackish waters of the estuary. Egg-laying always follows within two days of moulting into the egg-carrying condition but eggs are not retained if copulation has not occurred.The females lie on their sides during the act of spawning and the eggs are firmly attached within thirty minutes to the egg-carrying setae on the basipodites of the first to fourth pair of pleopods, then to those on the endopodite of the first pleopod, finally to those on the coxopodites of the last two pairs of pereiopods.


2020 ◽  
Vol 1 (3) ◽  
pp. 48-58
Author(s):  
Ya.D. Saprykin ◽  
◽  
V.I. Ryazantsev ◽  
A.A. Smirnov ◽  
◽  
...  

The article analyzes the existing methods for determining the driver's condition. Driving in a state of fatigue, according to various statistics, is the cause of a large number of road traffic accidents (RTA). The percentage of accidents in Russia associated with the driver falling asleep while driving in 2018 is about 20%, in the USA the number of accidents for the same reason reaches 100,000 per year. The aim of the work is to review existing approaches to recognizing driver fatigue and existing technical solutions in this area. The article discusses such approaches as fatigue recognition based on the physiological state of the driver, recognition based on the driver's behavior, namely his speech and visual signs while driving, fatigue determination based on the nature of the vehicle's movement on the road and based on the driver's actions on the controls, the approaches based on the subjective assessment of the driver's condition. The advantages and disadvantages of each of the approaches were analyzed. The paper also provides an overview of existing fatigue recognition systems from various manufacturers that are currently used on vehicles and are designed to warn the driver of impending fatigue. It was revealed that in modern conditions of road transport operation, the most optimal approaches to fatigue recognition are based on an assessment of the driver's impact on the steering wheel, visual signs of driver fatigue and the nature of the vehicle's movement on the road, therefore, it is proposed to further focus on these methods.


2020 ◽  
Author(s):  
Morteza Haghighi ◽  
Fatemeh Bakhtari Aghdam ◽  
Homayoun Sadeghi-Bazargani ◽  
Haidar Nadrian

Abstract Background Pedestrians are among the most vulnerable groups in traffic accidents. Our aim in this study was to explore the challenges associated to pedestrian safety from the perspective of traffic and transport stakeholders. Methods In 2018, applying a qualitative approach, twenty-four traffic and transport stakeholders were invited to participate in semi-structured individual interviews in Tabriz, Iran. To analyze data, conventional content analysis approach was used. MAXQDA software version 11 was applied to manage data analysis process. Findings: Participants reported a wide range of challenges which were grouped into six categories: "Challenges related to pedestrians", "Challenges related to drivers", "Management system challenges", "Environmental infrastructure challenges", "Educational and media challenges", and "Challenges of legislation and enforcement". Conclusion We identified pedestrian safety as a challenging urban traffic and transport issue with specific complexities, particularly in the management system. With a holistic approach to the challenges, as discussed inside, all reported obstacles seem to be overshadowed by one core challenge, namely the lack of a traffic management system with health-oriented approach and enough authority. Using evidence while policy-making and intervention planning, as well as media support is recommended.


2019 ◽  
Vol 11 (5) ◽  
pp. 115 ◽  
Author(s):  
Weihuang Liu ◽  
Jinhao Qian ◽  
Zengwei Yao ◽  
Xintao Jiao ◽  
Jiahui Pan

Road traffic accidents caused by fatigue driving are common causes of human casualties. In this paper, we present a driver fatigue detection algorithm using two-stream network models with multi-facial features. The algorithm consists of four parts: (1) Positioning mouth and eye with multi-task cascaded convolutional neural networks (MTCNNs). (2) Extracting the static features from a partial facial image. (3) Extracting the dynamic features from a partial facial optical flow. (4) Combining both static and dynamic features using a two-stream neural network to make the classification. The main contribution of this paper is the combination of a two-stream network and multi-facial features for driver fatigue detection. Two-stream networks can combine static and dynamic image information, while partial facial images as network inputs can focus on fatigue-related information, which brings better performance. Moreover, we applied gamma correction to enhance image contrast, which can help our method achieve better results, noted by an increased accuracy of 2% in night environments. Finally, an accuracy of 97.06% was achieved on the National Tsing Hua University Driver Drowsiness Detection (NTHU-DDD) dataset.


2021 ◽  
Vol 7 (7) ◽  
pp. 1183-1202
Author(s):  
Amjad H. Al-Bayati ◽  
Ahmad S. Shakoree ◽  
Zahraa A. Ramadan

Estimations of average crash density as a function of traffic elements and characteristics can be used for making good decisions relating to planning, designing, operating, and maintaining roadway networks. This study describes the relationships between total, collision, turnover, and runover accident densities with factors such as hourly traffic flow and average spot speed on multilane rural highways in Iraq. The study is based on data collected from two sources: police stations and traffic surveys. Three highways are selected in Wassit governorate as a case study to cover the studied locations of the accidents. Three highways are selected in Wassit governorate as a case study to cover the studied locations of the accidents. The selection includes Kut–Suwera, Kut–ShekhSaad, and Kut–Hay multilane divided highways located in the south of Iraq. The preliminary presentation of the studied highways was performed using Geographic Information System (GIS) software. Data collection was done to obtain crash numbers and types over five years with their locations, hourly traffic flow, and average spot speed and define roadway segments lengths of crash locations. The cumulative speed distribution curves introduce that the spot speed spectrum for each highway's whole traffic extends over a relatively wide range, indicating a maximum speed of 180 kph and a minimum speed of 30 kph. Multiple linear regression analysis is applied to the data using SPSS software to attain the relationships between the dependent variables and the independent variables to identify elements strongly correlated with crash densities. Four regression models are developed which verify good and strong statistical relationships between crash densities with the studied factors. The results show that traffic volume and driving speed have a significant impact on the crash densities. It means that there is a positive correlation between the single factors and crash occurrence. The higher volumes and the faster the driving speed, the more likely it is to crash. As the hourly traffic flow of automobile grows, the need for safe traffic facilities also extended. Doi: 10.28991/cej-2021-03091719 Full Text: PDF


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