An efficient and credible approach to road traffic management and prediction is a crucial aspect in the Intelligent Transportation Systems (ITS). It can strongly influence the development of road ...structures and projects. It is also essential for route planning and traffic regulations. In this paper, we propose a hybrid model that combines extreme learning machine (ELM) and ensemble-based techniques to predict the future hourly traffic of a road section in Tangier, a city in the north of Morocco. The model was applied to a real-world historical data set extracted from fixed sensors over a 5-years period. Our approach is based on a type of Single hidden Layer Feed-forward Neural Network (SLFN) known for being a high-speed machine learning algorithm. The model was, then, compared to other well-known algorithms in the prediction literature. Experimental results demonstrated that, according to the most commonly used criteria of error measurements (RMSE, MAE, and MAPE), our model is performing better in terms of prediction accuracy. The use of Akaike’s Information Criterion technique (AIC) has also shown that the proposed model has a higher performance.
Accident black spots are usually defined as road locations with a high risk of fatal accidents. A thorough analysis of these areas is essential to determine the real causes of mortality due to these ...accidents and can thus help anticipate the necessary decisions to be made to mitigate their effects. In this context, this study aims to develop a model for the identification, classification and analysis of black spots on roads in Morocco. These areas are first identified using extreme learning machine (ELM) algorithm, and then the infrastructure factors are analyzed by ordinal regression. The XGBoost model is adopted for weighted severity index (WSI) generation, which in turn generates the severity scores to be assigned to individual road segments. The latter are then classified into four classes by using a categorization approach (high, medium, low and safe). Finally, the bagging extreme learning machine is used to classify the severity of road segments according to infrastructures and environmental factors. Simulation results show that the proposed framework accurately and efficiently identified the black spots and outperformed the reputable competing models, especially in terms of accuracy 98.6%. In conclusion, the ordinal analysis revealed that pavement width, road curve type, shoulder width and position were the significant factors contributing to accidents on rural roads.
In Morocco, road accidents kill about 3,500 people and cause about 100,000 injuries each year. Between 2009 and 2019, the number of accidents has seen an increase of 53.43%. Identification of road ...black spots is an important task in the process of road safety and plays a vital role in reducing the number of accidents. Indeed, among the various techniques used for treating this issue is the weighted severity index method. It combines accident casualties by weighting each of them with a specific score. For this purpose, we use three ensemble methods, which are capable of attributing importance scores to model features (accident casualties). This paper shows the possibility of combining feature importance tool of XGBoost with Weighted Severity Index method in order to improve identification of accident Black Spots. The analysis of 1584 sections on rural roads in Morocco shows that 173 areas are classified as black spots. Our approach turned out to be efficient in identifying locations with high risk of accidents. In consequence, road sector stakeholders in the country may consider these results with the aim of improving the road safety in the future.
Over the last decade, around 3500 people lost their lives in road accidents each year in Morocco. Between 2008 and 2017, the number of accidents has seen an increase of 38.11%. Several factors may ...contribute to the so-called "war on the roads", such as the behavior of drivers or vehicle condition. Since human behavior is not always the leading cause of traffic crashes, in this work, we propose to study the effect of the environment and road conditions on accident mortality. The study is based on statistical data of accidents that caused death or bodily injuries in Morocco in 2017. The Case Fatality Rate (CFR) indicator was used to measure the severity of accidents, and the technique involved is the well-known non-parametric Analysis of Variance (ANOVA). Thirteen factors were taken into account to describe the state of the infrastructure and the physical conditions of roads. The analysis results show that the factors studied have a significant effect on accident fatality. More specifically, the type of intersection and the location proved to be the variables that contribute more to accident fatality.
Ferroelectric property that induces electrocaloric effect was investigated in Ba(GexTi1−x)O3 ceramics, known as BTGx. X-ray diffraction analysis shows pure perovskite phases in tetragonal symmetry ...compatible with the P4mm (No. 99) space group. Dielectric permittivity exhibits first-order ferroelectric-paraelectric phase transition, confirmed by specific heat measurements, similar to that observed in BaTiO3 (BTO) crystal. Curie temperature varies weakly as a function of Ge-content. Using the direct and indirect method, we confirmed that the adiabatic temperature change ΔT reached its higher value of 0.9 K under 8 kV/cm for the composition BTG6, corresponding to an electrocaloric responsivity ΔT/ΔE of 1.13 × 10−6 K.m/V. Such electrocaloric responsivity significantly exceeds those obtained so far in other barium titanate-based lead-free electrocaloric ceramic materials. Energy storage investigations show promising results: stored energy density of ~17 mJ/cm3 and an energy efficiency of ~88% in the composition BTG5. These results classify the studied materials as candidates for cooling devices and energy storage applications.
Hydatid cyst of the pericardium: a case report Mouhsine, Abdelilah; Belkouch, Ahmed; Athmane, El Mehdi ...
The Pan African medical journal,
11/2014, Letnik:
19, Številka:
330
Journal Article
Recenzirano
Odprti dostop
Pericardial hydatid cystis a rare condition; its clinical presentation is variable. It can reveal straightaway at the stage of life threatening complications. We report the case of a 17 years old ...female Arab patient, who complained of a sudden onset dyspnea, clinical examination was poor; the diagnosis was suspected by echocardiography and confirmed by the CT scan and hydatid serology. Furthermore, no other location was noted. Surgical treatmentwas proposed. The modern cross-sectional imaging especially CT scan and MRI revolutionized the diagnosis of this rare hydatid location.
Ferroelectric property that induces electrocaloric effect was investigated in Ba(Ge(x)Ti(1-x))O(3) ceramics, known as BTGx. X-ray diffraction analysis shows pure perovskite phases in tetragonal ...symmetry compatible with the P4mm (No. 99) space group. Dielectric permittivity exhibits first-order ferroelectric-paraelectric phase transition, confirmed by specific heat measurements, similar to that observed in BaTiO(3) (BTO) crystal. Curie temperature varies weakly as a function of Ge-content. Using the direct and indirect method, we confirmed that the adiabatic temperature change ΔT reached its higher value of 0.9 K under 8 kV/cm for the composition BTG6, corresponding to an electrocaloric responsivity ΔT/ΔE of 1.13 \texttimes 10(-6) K.m/V. Such electrocaloric responsivity significantly exceeds those obtained so far in other barium titanate-based lead-free electrocaloric ceramic materials. Energy storage investigations show promising results: stored energy density of ~ 17 mJ/cm(3) and an energy efficiency of ~ 88% in the composition BTG5. These results classify the studied materials as candidates for cooling devices and energy storage applications.
Physiological hypercoagulability is a known condition in pregnancy designed to limit the risk of bleeding; it may exceptionally be complicated by thrombosis of the renal vein. To the best of our ...knowledge, this is the third case of renal venous infarction reported in the literature.
We report the case of a 43-year-old Caucasian woman, a mother of three sons who presented with left flank pain and hematuria. The clinical investigations did not find any other cause for her thrombophilia.
Clinical onset is not specific, so it is important to evoke the diagnosis in the context of pregnancy; computed tomography angiography is the investigation of choice to set the diagnosis. It is important to know that anticoagulation therapy must be initiated as soon as possible.
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