On the design and implementation of an on-board test bed system for V2V road hazard signaling

This paper describes the design, implementation, and testing of an ITS-G5 prototype Road hazard Signaling (RHS) system that is inspired by the concept of crowdsourcing. Our approach enables drivers to interact with a touchscreen onboard interface to send ITS-G5 decentralized environmental notification messages (DENM) in order to warn nearby vehicles against the presence of a hazardous situation. These messages are analyzed, filtered for relevance, and presented to concerned drivers via the Onboard Units (OBUs) so that precautionary measures can be taken. We describe the design and implementation aspects of the proposed system and update the open source cargeo6 implementation of the ITS GeoNetworking protocol stack. We successfully implemented and validated the prototype system using an indoor testbed and carried various performance analysis experiments

The covcrav project: Architecture and design of a cooperative v2v crash avoidance system

© 2019 The Authors. Published by Elsevier B.V. Systems capable of warning motorists against hazardous driving conditions are extremely useful for next-generation cooperative situational awareness and collision avoidance systems. In this paper, we present some preliminary results related to the COVCRAV project which aims to develop an on-board Road Hazard Signaling (RHS) system based on a crowd-apprising model. Unlike other approaches that rely on the automatic detection of dangerous situations via onboard sensors or warning messages received from roadside units, our approach enables drivers to interact directly with a touchscreen Driver Vehicle Interface (DVI) to notify nearby vehicles about the presence of a hazardous driving situation based on many high-value safety use-cases. We describe our RHS application and highlight the key functions provided by the originating and the receiving ITS applications. We also provide some details regarding the design aspects and system architecture of the proposed system

ConVeh: Driving Safely into a Connected Future

© 2017 The Authors. Published by Elsevier B.V. The loss of lives and damages to the property due to the vehicle crashes and road accidents have been an issue for long; a quarter of these accidents happen due to the adverse weather conditions. This paper presents the idea of cooperative driving technique for the drivers with the use of Connected Vehicles to minimize road accidents, traffic congestions, and to lessen, as far as possible, the effects of traffic on the environment and the loss of lives and economy. The frameworks for improving situational awareness and crash avoidance suggested hereby are vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) data transmission systems. The research will primarily focus on the feasibility of CVs as applicable to the contemporary physical and virtual infrastructure and suggest the required adaptations, while the technical needs for the effective and successful implementation of a robust communication framework through the use of dedicated short-range communications (DSRC) will be discussed thereafter. Peer-review under responsibility of the Conference Program Chairs

Czy adiponektyna stanowi czynnik ryzyka występowania napadów przemijającego niedokrwienia mógu/przemijającego niedokrwienia mózgu?

  Adiponectin is an adipocytokine, and it plays a role in atherosclerosis. The role of adiponectin in the development of ischaemic stroke is controversial. Up to now, adiponectin was not evaluated in transient ischaemic stroke. In this study, we investigated the relationship between adiponectin and transient ischaemic attack. Forty patients with transient ischaemic attack were included into the study. In all patients, traditional risk factors of ischaemic stroke and intima-media thickness of carotid arteries were determined. Also, the relationship between these parameters and adiponectin levels were examined. No difference was found in terms of adiponectin levels between patients and healthy subjects. In addition, there was no association between adiponectin levels and traditional risk factors. Our results suggest that adiponectin may not be a predictive risk factor of transient ischaemic attack. (Endokrynol Pol 2015; 66 (3): 214–218)    Adiponektyna jest adipocytokiną i odgrywa ważną rolę w przebiegu miażdżycy. Jej rola w rozwoju udaru niedokrwiennego budzi kontrowersje. Aż do dziś nie oceniono działania adiponektyny w przemijających udarach niedokrwiennych. W niniejszym badaniu prześledzono związek adiponektyny z przemijającymi atakami niedokrwiennymi. Do badania włączono 40 pacjentów cierpiących na przemijające niedokrwienie mózgu. U wszystkich pacjentów wykryto typowe czynniki ryzyka udaru niedokrwiennego oraz zmiany w błonie środkowej i wewnętrznej tętnicy szyjnej. Zbadano także związek między tymi parametrami i stężeniem adiponektyny. Nie znaleziono różnic w poziomie adiponektyny między pacjentami oraz osobami zdrowymi. Dodatkowo, nie wykryto związku między stężeniem adiponektyny i typowymi czynnikami ryzyka. Wyniki badania sugerują, że adiponektyna może nie być czynnikiem ryzyka wystąpienia przemijającego ataku niedokrwiennego. (Endokrynol Pol 2015; 66 (3): 214–218)

A Neural network approach to visibility range estimation under foggy weather conditions

© 2017 The Authors. Published by Elsevier B.V. The degradation of visibility due to foggy weather conditions is a common trigger for road accidents and, as a result, there has been a growing interest to develop intelligent fog detection and visibility range estimation systems. In this contribution, we provide a brief overview of the state-of-the-art contributions in relation to estimating visibility distance under foggy weather conditions. We then present a neural network approach for estimating visibility distances using a camera that can be fixed to a roadside unit (RSU) or mounted onboard a moving vehicle. We evaluate the proposed solution using a diverse set of images under various fog density scenarios. Our approach shows very promising results that outperform the classical method of estimating the maximum distance at which a selected target can be seen. The originality of the approach stems from the usage of a single camera and a neural network learning phase based on a hybrid global feature descriptor. The proposed method can be applied to support next-generation cooperative hazard & incident warning systems based on I2V, I2I and V2V communications. Peer-review under responsibility of the Conference Program Chairs

Ischemia modified albumin is an indicator of oxidative stress in multiple sclerosis

Introduction: Oligodendrocytes need iron in processes of energy generation and myelination. However, excessive levels of iron may exert iron induced oxidative stress and thus lead to tissue degeneration. Monitoring oxidative stress will be of paramount importance in follow-up of patients with many diseases including multiple sclerosis (MS). The aim of this study was to measure total anti-oxidative status (TAS), total oxidative status (TOS) and ischemia modified albumin (IMA) in stable relapse remitting MS (RRMS) patients. Materials and methods: Thirty-five RRMS patients (15 males and 20 females; median age 42 (20-55) years) and thirty-five age-sex matched healthy controls (13 males and 22 females; median age 37 (21-60) years) were included in this study. All patients were diagnosed with MS according to the criteria of McDonald. Results: IMA levels were significantly higher in RRMS patients (P < 0.001), while TAS and TOS did not show any significant difference between groups (P = 0.870 and P = 0.460, respectively). Conclusions: Our results suggest IMA as a more efficient serum marker than TAS and TOS in detecting the oxidative stress in MS patients. Serum oxidative stress markers should be included in future study protocols besides clinical and radiological parameter

Asırı Sulamanın Toplumsal-Ekinsel Nedenlerinin Çözümlenmesi - Harran Ovası Örneği-

The construction of Ataturk Dam, and the establishment of the irrigation facilities were created wrong irrigation, economic and environmental problems in addition to a heavy cost to the Republic of Turkey. The purpose of this study is to analyze the socio-cultural connection of producer’ over-irrigation on Harran Plain and may help to develop a research outline for similar studies. Theoretical study is based on the "Situational Functional Approach". Research under the Harran Plain a questionnaire were made with the 163 subjects constist of 86 producers in eight villages, 12 irrigation union presidents and general secretaries, 5 agricultural chamber presidents and agricultural engineers working in these officers, 26 pesticide dealers, 34 extentionst at provincial and district directorates of agriculture

Autonomous Driving and Connected Mobility Modeling: Smart Dynamic Traffic Monitoring and Enforcement System for Connected and Autonomous Mobility

In recent years, autonomous vehicles (AVs), connected vehicles (CVs) and all relative technology have been in the spotlight, being intensively researched and developed. There is high anticipation on the benefits of automation and the overall reform it will bring to the transport sector, with some optimistic estimates considering it as a reality within the next few years. Evidently, AVs and CVs are attracting considerable attention and are developed very rapidly, cultivating great expectations for traffic safety improvements. While their potential is enormous and undeniable, benefits are not automatically guaranteed as there are parameters that currently appear unforeseen. This paper investigates the ways that monitoring and enforcement of autonomous vehicles can be improved and serious problems such as tailgating and crashes can be mitigated. This paper\u27s result could provide useful conclusions about human factor, the effectiveness of existing monitoring and enforcing systems and possible future systems regarding enforcement and monitoring of autonomous vehicles (AVs)

Evaluating active traffc management (ATM) strategies under non-recurring congestion: Simulation-based with benefit cost analysis case study

© 2020 by the authors. Dynamic hard shoulder running and ramp closure are two active traffic management (ATM) strategies that are used to alleviate highway traffic congestion. This study aims to evaluate the effects of these two strategies on congested freeways under non-recurring congestion. The study\u27s efforts can be considered in two parts. First, we performed a detailed microsimulation analysis to quantify the potential benefits of these two ATM strategies in terms of safety, traffic operation, and environmental impact. Second, we evaluated the implementation feasibility of these two strategies. The simulation results indicated that the implementation of the hard shoulder showed a 50%-57% reduction in delay, a 41%-44% reduction in fuel consumption and emissions, and a 15%-18% increase in bottleneck throughput. By contrast, the implementation of ramp closure showed a 20%-34% decrease in travel time, a 6%-9% increase in bottleneck throughput, and an 18%-32% reduction in fuel consumption and emissions. Eventually, both strategies were found to be economically feasible