Investigation of NOx emissions is a worldwide concern in order to mitigate or to reduce the health risks that the pollutant poses for the public. It is known that the NOx are a combination of highly reactive odourless gases containing nitrogen and oxygen in different proportions. The main objective of the present paper is to show the applied investigation and its following results regarding NOx values and trendlines for the warm-up phase of a Mercedes E 350 CDI Cabrio-Coupe A/C/W207. The secondary objective of the investigation consists in dividing and comparing the results obtained before and after the threshold limit of 40˚C in coolant temperature. The warm-up sequence is not the highest temperature stress regarding pollution and NOx formation. It is although very important due to at least two reasons. In the first place, many of the usual road traffic trips are not exceeding the warm-up duration, meaning that the travel is below 40 minutes long. Secondly, the operation below 60˚C is the most stressful both physically and chemically for the engine (its systems) and the environment being defined by high wear and pollution levels. Temperature is a key factor.
The present research is conducted in order to show the possibilities of creating a smart and advanced mobile system capable of investigations regarding the chemical composition of the atmospheric air in the metropolitan areas using flexible technologies and some part of the existing infrastructure. Experimental measurements are made using a mobile station for data recording connected to the internet and with a link to the air quality stations. Taking into consideration the values of different chemical compounds within the atmospheric air, the data processing station may create a chemical map indicating the higher risk of air toxicity. Nitrogen oxides and particulate matter are some of the essential chemical pollutants generated these days by modern industries and transportation activities. By installing the proper technologies and networking capabilities on a current car the research team has made a practical investigation of actual chemical values in the metropolitan area of Cluj-Napoca by accessing the NO, NO2, NOx, and PM 10 data retrieving lines. Necessary changes in hourly retrieved data show that road traffic and other human activities do change the air quality level and its chemical composition. An air map is provided for some moments of the day, including the four stations in Cluj-Napoca city. The practical research is intended to present the technological capability and its embedding potential for the new series models of cars which may thus indicate a proper route in order to avoid critical points and to reduce the toxic chemical overload of some areas.
A control program was designed with Unity 5 virtual reality application in the automotive and robotics field. Thus, a virtual model of a robotic car was tested in a virtual reality program. After optimization, the smart controller was implemented on a specific model of the automated Chevrolet Camaro. The main objective of the present paper is to design a control program model to be tested in virtual reality and in a real-size car. Results concerning the virtual modeling of an automated car and its artificial intelligence controls have been presented and discussed, outlining the forces, torques, and context awareness capabilities of the car.
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