scholarly journals A Localization Algorithm of Double Radars Based on Two Moments

2018 ◽  
Vol 232 ◽  
pp. 03020
Author(s):  
Tao Tang ◽  
Jin Pan ◽  
Deqiang Yang ◽  
Boyuan Ma
Keyword(s):  
Traffic Accidents ◽  
Continuous Wave ◽  
Frequency Measurement ◽  
Localization Algorithm ◽  
Error Localization ◽  
Blind Area ◽  
Almost All ◽  
Geometrical Relationship

This paper proposes an algorithm of localization based on FPGA and PC. It calculates the position of the target based on the geometrical relationship between the radars and the target through the speeds of the target and the peak-to-peak values measured by two radars at two moments. Currently, almost all the Doppler radars work with frequency modulated continuous wave(FMCW) and finish the frequency measurement by singlechip machine(SCM). This method only need radars work with continuous wave(CW) and finish the frequency measurement and localization on FPGA and PC. It can achieve the least error localization at the lowest cost. This system can alert the drivers to a vehicle in the blind area and remind the position and the speed of the vehicle relative to their vehicles. It can improve the safety of vehicles when changing lanes and turning, and effectively decrease the incidence of traffic accidents.

scholarly journals Detection and Localization for Multiple Stationary Human Targets Based on Cross-Correlation of Dual-Station SFCW Radars

2019 ◽  
Vol 11 (12) ◽  
pp. 1428 ◽  
Author(s):  
Yong Jia ◽  
Yong Guo ◽  
Chao Yan ◽  
Haoxuan Sheng ◽  
Guolong Cui ◽  
...  
Keyword(s):  
Cross Correlation ◽  
Continuous Wave ◽  
Coefficient Matrix ◽  
Constant False Alarm Rate ◽  
Localization Algorithm ◽  
Cfar Detection ◽  
Stepped Frequency ◽  
The Cross ◽  
The One ◽  
Detection And Localization

This paper demonstrates the feasibility of detection and localization of multiple stationary human targets based on cross-correlation of the dual-station stepped-frequency continuous-wave (SFCW) radars. Firstly, a cross-correlation operation is performed on the preprocessed pulse signals of two SFCW radars at different locations to obtain the correlation coefficient matrix. Then, the constant false alarm rate (CFAR) detection is applied to extract the ranges between each target and the two radars, respectively, from the correlation matrix. Finally, the locations of human targets is calculated with the triangulation localization algorithm. This cross-correlation operation mainly brings about two advantages. On the one hand, the cross-correlation explores the correlation feature of target respiratory signals, which can effectively detect all targets with different signal intensities, avoiding the missed detection of weak targets. On the other hand, the pairing of two ranges between each target and two radars is implemented simultaneously with the cross-correlation. Experimental results verify the effectiveness of this algorithm.

Actuation of Adaptive Rearview System for Motorcycles

2013 ◽  
Vol 284-287 ◽  
pp. 587-591 ◽  
Author(s):  
Yao Jung Shiao ◽  
Quang Anh Nguyen ◽  
Chun Fang Hou
Keyword(s):  
Vehicle Dynamics ◽  
Traffic Accidents ◽  
Mirror System ◽  
Traffic Information ◽  
Blind Area ◽  
Rearview Mirror

Conventionally, a motorcycle has headlight and mirrors to provide front illumination and rear views for drivers, respectively. Rearview mirrors on conventional motorcycles are fixed, which is easy to cause instant rear blind area for drivers on turns or hubbly roads. Therefore, the drivers cannot get traffic information behind motorcycles, and easily lead to traffic accidents. In this paper, actuation for an adaptive rearview mirror system for motorcycles was proposed. According to sensor inputs, this system adaptively adjusts the rearview mirrors to compensate the changes of vehicle dynamics in pitching, steering and rolling under different road conditions. A grey predictor was also developed in this paper to estimate the change of vehicle dynamics in advance. With the properly designed actuation, this system can provide wide and appropriate rear views to motorcycle riders. It significantly enhances riders’ safety and reduces the occurrence of traffic accidence.

scholarly journals The Effects of Picking Up Primary School Pupils on Surrounding Street’s Traffic: A Case Study in Hanoi

2020 ◽  
Vol 14 (1) ◽  
pp. 237-250
Author(s):  
Dinh Hiep ◽  
Vu V. Huy ◽  
Teppei Kato ◽  
Aya Kojima ◽  
Hisashi Kubota
Keyword(s):  
Primary School ◽  
Traffic Safety ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Primary Schools ◽  
Traffic Accidents ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Almost All

Introduction: One of the significant characteristics of schools in Vietnam is that almost all parents send their children to school and/or pick up their children from school using private vehicles (motorcycles). The parents usually stop and park their vehicle on streets outside the school gates, which can lead to serious congestion and increases the likelihood of traffic accidents. Methods: The objective of this study is to find out factors affecting the picking up of pupils at primary school by evaluating the typical primary schools in Hanoi city. A binary logistic regression model was used to determine factors that influence the decision of picking up pupils and the waiting duration of parents. The behavior of motorcyclists during the process of picking up pupils at the primary school gate has been identified and analyzed in detail by the Kinovea software. Results and Discussion: The study showed that, on the way back home, almost all parents use motorbikes (89.15%) to pick up their children. During their waiting time (8.48 minutes in average), they made a lot of illegal parking actions on the street there by, causing a lot of “cognitive” errors and “crash” points surrounding in front of the primary school entrance gate. Risky picking-up behaviors were significantly observed, i.e. picking-up on opposite side of the school, making a U-turn, backing-up dangerously, parking on the middle of street, and parking on the street next to sidewalk). Conclusion: Based on the analyzed results, several traffic management measures have been suggested to enhance traffic safety and reduce traffic congestion in front of school gates. In addition, the results of the study will provide a useful reference for policymakers and authorities.

scholarly journals Risk of Mortality on Patients with Traffic Accidents of Emergency Department at dr. Soebandi Hospital, Jember Regency

Jurnal NERS ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 42
Author(s):  
Baskoro Setioputro ◽  
Indah Listiyawati ◽  
Kholid Rosyidi Muhammad Nur
Keyword(s):  
Traffic Accidents ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Low Risk ◽  
P Value ◽  
Chi Square ◽  
Risk Of Mortality ◽  
Chi Square Test ◽  
Almost All ◽  
Wheeled Vehicles

Introduction: The number of mortality due to traffic accidents is still becoming a global burden. In addition SDGs 2030 has set a target to decrease the number of mortality and global injuries due to traffic accidents. The purpose of this study was to analysis the risk of mortality due to traffic accidents in the Eemergency Department (ED) of dr.Soebandi Hospital Regional, Jember Regency.Method: A retrospective observational study was carried out in the ED by studying medical records of the traffic accident patients aged ≥16 years. The sampling technique was used simple random sampling with the sample size 250. The study was collected data with Modified Rapid Emergency Medicine Score. This study result was analyzed with frequency distribution and Chi-Square test. Results: The result showed respondents who experienced traffic accidents mostly was 20-29 years old (19.6%). The majority of the patient was men (68,4%). The riders of two/three-wheeled vehicles who suffered traffic accidents reached 73.2%. Most of the accidents that occurred at 06.00-11.59 AM were around 37.6%. Generally, traffic accidents occur to drivers as much as 68.4%. The number of types of head trauma as much as 57,2%. This study showed that 94,8% patients were at low risk of mortality. There were significant relationship between risk of mortality and the role in vehicle use (p-value = 0,043).Conclusions: Almost all patients have a low risk of mortality in the ED of dr. Soebandi Hospital Jember Regency.

scholarly journals ANALISIS PERILAKU LALU LINTAS PENGGUNA JALAN DI SEKITAR SIMPANG GENDENGAN

2019 ◽  
Vol 2 (1) ◽  
pp. 11
Author(s):  
Nurul Hidayati ◽  
Agung Erwanda
Keyword(s):  
Data Analysis ◽  
Traffic Accidents ◽  
Driver Behavior ◽  
Road User ◽  
Primary Data ◽  
Observation Data ◽  
Police Data ◽  
Traffic Violations ◽  
Almost All

This study focused on the behavior of road user (biker/rider), especially around the Gendengan Intersection in Surakarta. This study aims to determine the types of violations, the causes, and effects that occur around the intersection. The primary data used are observation data of violations and questionnaires of 400 respondents. This study also uses data of traffic accidents and violations from the SATLANTAS of Surakarta Police and the IRSMS of KORLANTAS POLRI. The analysis refers to Law No.22 of 2009. Based on the Police data analysis, there are 87.98% of violations in Surakarta related to driver behavior, while using the primary data it was found around 48.32%. Lack of awareness of orderly traffic causes the driver to ignore his safety. This can be seen from the percentage of respondents who answered YES greater than NO happening in almost all violation types. Traffic violations can be a major factor in traffic accidents. Therefore, the implementation of strict rules needs to be done for those who violate, either in the form of fines or imprisonment. Penelitian ini difokuskan pada perilaku berlalu lintas pengendara di jalan, khususnya di sekitar Simpang Gendengan Surakarta. Penelitian ini bertujuan untuk mengetahui tipe-tipe pelanggaran, penyebab dan dampak pelanggaran yang terjadi di sekitar simpang tersebut. Data primer yang digunakan adalah data pengamatan lapangan dan kuesioner dari 400 responden. Penelitian ini juga menggunakan data kecelakaan dan pelanggaran lalu lintas dari Satlantas Polresta Surakarta dan IRSMS KORLANTAS POLRI. Analisis mengacu pada Undang-Undang No.22 Tahun 2009. Berdasarkan hasil analisis data Kepolisian diperoleh 87,98% tipe pelanggaran di Surakarta berkaitan dengan perilaku pengemudi, sedangkan dari data primer diperoleh sebesar 48,32%. Kurangnya kesadaran akan tertib berlalu lintas menyebabkan pengemudi pengabaikan keselamatannya. Hal ini terlihat dari prosentase responden yang menjawab Ya lebih besar dari Tidak terjadi hampir pada semua tipe pelanggaran. Pelanggaran lalu lintas dapat menjadi faktor utama kecelakaan lalu lintas. Oleh karena itu, penerapan aturan yang ketat perlu dilakukan bagi yang melanggar, baik berupa hukuman denda atau penjara.

Ranging Technology for Frequency Modulated Continuous Wave Laser Based on Phase Difference Frequency Measurement

2018 ◽  
Vol 45 (11) ◽  
pp. 1104002
Author(s):  
吉宁可 Ji Ningke ◽  
张福民 Zhang Fumin ◽  
曲兴华 Qu Xinghua ◽  
张桐 Zhang Tong ◽  
张铁犁 Zhang Tieli ◽  
...  
Keyword(s):  
Phase Difference ◽  
Continuous Wave ◽  
Frequency Measurement ◽  
Difference Frequency ◽  
Continuous Wave Laser ◽  
Wave Laser

scholarly journals Emergency Management of Traumatic Spinal Cord Injuries

2020 ◽  
Vol 17 (02) ◽  
pp. 057-061
Author(s):  
Mohammed Maan Abdul Azeez ◽  
Luis Rafael Moscote-Salazar ◽  
Gabriel Alcala-Cerra ◽  
Ezequiel García-Ballestas ◽  
Diego Bustos-Salazar ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Traffic Accidents ◽  
Spinal Cord Injuries ◽  
Road Traffic ◽  
Sports Injuries ◽  
Mortality And Morbidity ◽  
Causes Of Mortality ◽  
Magnetic Resonance Imaging Mri ◽  
Almost All ◽  
No Gold Standard

AbstractSpinal cord trauma constitutes one of the main causes of mortality and morbidity in young adults around the world, with an estimated 2 to 3 new cases for every 100,000 population. Road traffic accidents, falls from high heights, sports injuries, and violent actions are common causes of spinal cord injuries. There is no “gold standard” for the diagnosis of spinal cord traumatic injuries; however, the rational use of conventional radiologic test, computed tomography scan, and magnetic resonance imaging (MRI) will allow to identify almost all clinically relevant injuries. MRI is recommended according to surgeon’s criteria, who after evaluating the specific characteristics of the injury will determine its usefulness. Therapeutic strategies need to be directed to maintain airway, breathing and circulation, maintenance of mean arterial pressure prevention of hypotension, and assessment of other associated injuries. Intensive treatment must be focused on the prevention and management of ventilatory and cardiovascular abnormalities related to muscle weakness and loss of autonomic innervation.

Human factors in driving accidents: A cognitive investigation in the Gulf context

2016 ◽  
Vol 33 (S1) ◽  
pp. S137-S138
Author(s):  
Y. Alotaibi
Keyword(s):  
Human Factors ◽  
Cognitive Functioning ◽  
Traffic Accidents ◽  
Arab World ◽  
Verbal Working Memory ◽  
Human Cognition ◽  
Car Accidents ◽  
Study Results ◽  
Competing Interest ◽  
Almost All

IntroductionHuman factors have been reported as the reason behind the majority of car accidents. However, to date, no studies at least in the Arab world generally and Gulf area specifically, conducted a comprehensive examination of cognitive functioning as potential predictors of car accidents and driving violations.ObjectivesExamining the role of cognitive functions e.g., verbal working memory, attentional control as predictors of traffic accidents and driving violations.AimsExamining the predictability of individual's cognition of occurrence of driving violations and accidents.MethodsThe study was carried on a sample of hundred and thirty two participants whose age ranged between 24 and 31 years. They were classified into groups of violators and non-violators, accident free and accident involved as well. Cognitive functioning were measured using self-reports and task performance, and a series of ANOVAS as well as stepwise multiple regressions were conducted to test the research hypothesis.ResultsFindings showed significant differences between violators and non-violators and between the accident free and accident involved groups in almost all of the considered factors, except for the decision making factor. Moreover, Pearson product-moment correlations showed that there were significant negative correlations between age, driving violations, and cognitive performance and the accidents.ConclusionsHuman cognition such as executive functioning and mental planning are key factors for predicting driving behavior and traffic accidents. The study results have many implications in diagnosing and preventing or at least reducing driving violations and road accidents.Disclosure of interestThe author has not supplied his/her declaration of competing interest.

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