Types Of Cars Research Articles

Do economic incentives promote physical activity? Evidence from the London Congestion Charge

Abstract This study investigates the impact of economic incentives on travel-related physical activity, leveraging the London Congestion Charge’s disincentivising of sedentary travel modes via increasing the cost of private car use within Central London. The scheme imposes charges on most types of cars entering, exiting, and operating within the Central London area, while individuals living inside the charging zone are eligible for a 90% reduction in congestion charges. Geographical location information provides the full-digit postcode data necessary to precisely identify the eligibility for the discount of participants in the London Travel Demand Survey for the period 2005–2011. Using a boundary regression-discontinuity design reveals a statistically significantly positive impact on active commuting (i.e. cycling and walking) around the border of the charging zone. The effect is larger for lower-income households and car owners. The findings are robust against multiple specifications and validation tests.

Fire extinguishment tests of electric vehicles in an open sided enclosure

Electric vehicles may represent a new type of risk and require a change in fire protection and firefighting techniques in vehicle carriers and parking garages. This study presents an experimental assessment of firefighting techniques and fire dynamics of electric cars in an open-sided enclosure. The enclosure had dimensions of 12.2 m by 7.1 m, and openings of 7.1 m by 2.4 m on either end of the enclosure. A total of nine tests were performed, of which seven were conducted on the same type of car (Renault Fluence ZE). The other two electric cars tested were Tesla Model 3 and Nissan Leaf. The electric cars were surrounded by conventional internal combustion engine vehicles, and ignition was induced by short circuit of the battery. When this was not possible an external fuel load was used. The results of the tests show a significant variation in fire growth rates. Gas temperatures peaked at 1000 °C in some of the tests. The flame spread to neighboring cars occurred between 3 min and 46 min depending on the firefighting method used.

An experimental study on the upper limit frequency of global active noise control in car cabins

In this case study, the upper limit frequency for global noise control in car cabins is investigated with numerical simulations, and experimental results of global control are presented for the first time. To simulate the complicated noise field in a running car, a 1.90 m × 1.50 m × 1.10 m rectangular enclosure, which is approximately the size of a typical car is used with point monopoles evenly distributed near the boundaries generating the primary sound field. Besides verifying the fact that the upper limit frequency of effective control increases with the number of secondary sources, a formula is proposed in this paper to estimate the number of secondary sources required to achieve global control up to a certain frequency. The simulations are carried out in the time domain based on the transfer functions measured between the secondary loudspeakers and 40 evaluation points evenly distributed in a typical car, which show that the upper limit frequency of 3 dB global control is about 200 Hz while using 4 secondary sources and it can be improved to 315 Hz with 7 secondary sources. An active noise control system is realized with 16 accelerometers picking up vibration reference signals and 4 or 7 loudspeakers as secondary sources, and the real time test results in the car running at 50 km/h on a typical asphalt road demonstrated the validity of the findings in numerical simulations.

Transfer learning applied to bivariate forecasting on product warranty data

The reliability and resource management of products for warranty is important. Furthermore, the number of failures of aproduct over time of use and level of expenditure can assume different distributions. Approaches with parametric modelsbring good results when there is a normal distribution, and the application of Deep Learning (DL) is very promising. Weshow a new methodology for the application of DL models with transfer learning to bivariate forecasts of repair rates inproducts that are under warranty. The solution was applied to data from an American company, recorded from 2015 to2022, of 12 different types of parts from 69 different types of cars. An evaluation of the absolute error of the forecasts wasperformed for each combination of part, car and model year. Tests showed that the model performed well in predictingdata for 70 months in service and 70,000 miles, using data from cars with at least 15 months in service and 1,000 milesas input. It was also concluded that the solution is robust for cases of incomplete data and distributions far from thenormal distribution.

Analysis of structures and application of different types of engines in cars

Problem. The publication analyzes the structures and application of various types of engines in a car, which allows to determine the structural aspects, features of placement and operation of engines, their future application prospects. Purpose. The purpose of the work is to analyze the design and operation of engines used in modern cars, to determine their advantages and disadvantages, and the prospects for the development and application of various types of engines. Methodology. The approaches adopted in the work to achieve the set goal consist in the analysis of designs of various types of engines of modern cars, their layout and features of their use. Results. The paper includes a comparative analysis of various types of engines used in modern cars. The peculiarity of the design and structure of internal combustion engines, electric cars and hybrid cars is considered. The scheme of the general configuration of electric vehicles, possible configurations of electric vehicles, layout schemes of hybrid cars are given. The advantages and disadvantages of each type of engine, the main prospects for their development and application are shown. Originality. The conducted analysis of the design features of various types of engines that are installed in modern cars allows us to formulate a general idea about the peculiarities of the operation of cars with the considered types of engines. Practical meaning. The obtained results of the analysis and the given advantages and disadvantages in the use of different types of engines allow us to formulate the main directions in the development of structures and the prospects of their application in different types of cars.

Enhancing Car Showroom Profitability through K-Means Clustering for Customer Segmentation

Indonesia is known to be one of Southeast Asia’s largest markets for used cars. Used car showrooms in Indonesia are numerous and varied, some focus on one car brand, some focus on the lower middle class, some focus on the upper middle class, and some provide all types of cars. One of them is PQR Showroom, Even though PQR Showroom was able to generate such a great amount of sales, the profits generated by the PQR showroom are not proportional to the amount of capital invested. To increase the profit, we proposed the solution using descriptive analytics and prescriptive analytics using K-Means. We also carry out simulations by comparing sales in existing years with the results of the descriptive and prescriptive analytics that have been made for the expected profit. The results show that the simulation comparison with the data we have obtained from descriptive and prescriptive analysis gives the best-expected profit compared to the initial sales results at the PQR Showroom. It shows that the data using descriptive and K-Means is great than before. The fastest cars that have been sold is LCGC and the most wanted car is MPY Toyota Avanza and the best profit that can generate is SUV Toyota Fortuner.

Rancang Bangun Purwarupa Mobil Bergerak Menggunakan Pengendali Suara Berbasis Mikrokontroler Atmega328

One type of prototype car with interesting special abilities to develop is a voice-controlled prototype car based on the ATmega328 microcontroller module EasyVR, Motor Driver as the stepper motor controller, and using wheels with a stepper motor as the driver. EasyVR Commander serves as the voice recorder. In the control system, several voice commands are used. The first command is "ROBOT", waiting for the LED to light up, and then the second command is "FORWARD", which makes the prototype car move forward. The first command is "ROBOT", waiting for the LED to light up, and then the second command is "REVERSE", which makes the prototype car move backward. The first command is "ROBOT", waiting for the LED to light up, and then the second command is "RIGHT", which makes the prototype car move to the right. The first command is "ROBOT", waiting for the LED to light up, and then the second command is "LEFT", which makes the prototype car move to the left. The first command is "ROBOT", waiting for the LED to light up, and then the second command is "ACTION", which triggers a reaction from the prototype car. The prototype car will move according to voice commands and pressure through sound waves.

OCTAVE BAND ANALYSIS OF CAR NOISE EMISSIONS AT DIFFERENT SPEEDS AND ON DIFFERENT PAVEMENTS

Noise from cars is one of the main sources of harmful pollution. In the presented paper, an octave frequency band analysis is conducted according to standard methods of external and internal noise measurement. Experiments at different speeds, with three types of cars—conventional gasoline (GV), hybrid (HEV) and pure electric (BEV)— were carried out on two types of pavement—damaged coarse-grained and smooth finegrained asphalt. The results show variations in external and internal noise levels vs. speed in different octave bands. At each speed, a spectral analysis was done. The diagrams with results show changes in noise level vs. speed and the positions of noise maximums. Regression models for the octave spectrum at different speeds and pavements are developed.

Effect of Driving Sound of Electric Vehicle on Product Attractiveness

Product sounds are an effective means of communicating product features. However, the existing research on electric vehicle (EV) driving sounds has focused on noise reduction and pedestrian safety. Discussions from the perspective of improving product attractiveness and creating value are lacking. This study examined the effects of the driving sounds of gasoline-powered vehicles and EVs in the Japanese automobile market using randomized controlled trials. For verification, we prepared four types of cars with three types of driving sounds (gasoline-powered engines, gasoline-powered sports engines, and EV motors) for 12 movies. This makes it possible to evaluate the effects of the driving sounds equally. As a result, we clarified that the driving sound of EVs enhances the evaluation of product attractiveness compared to the sound of gasoline-powered sports vehicles. This result implies that practitioners should be aware that recent consumers tend to be more attracted to EVs than gasoline-powered vehicles. Consumers have a beautiful and sophisticated impression of the EV category and electrified future. The results confirm that consumers find the engine of a sports car confusing but find the quietness of EV attractive. The trend toward a higher evaluation of EV motors is more pronounced among younger generations and men. Therefore, although products that restore loud engine noise, despite EVs, exist, the concern is that the direction that companies should aim for is different. This study goes beyond noise reduction and safety assurance and demonstrates the importance of sound design that conveys attractiveness.

Uncovering Equity and Travelers’ Behavior on the Expressway: A Case Study of Shandong, China

Understanding equity and travelers’ behavior plays a key role in creating suitable strategies to promote the development of the expressway. Especially, finding clusters of expressway users could help managers provide targeted policies in order to enhance service quality. However, it is challenging to identify expressway travel behaviors, such as traffic flow distribution and users’ classification. Electronic toll collection (ETC) has been widely applied to improve expressway management, because it can record the origin–destination information of users. This paper proposes a framework to analyze the equity and travel behavior of expressway users with a large amount of ETC data. In the first stage, the Gini coefficient is adopted to analyze expressway equity. In the second stage, 12 kinds of indicators are extracted, including number of trips, car type, mean distance, etc. In the third stage, kmeans algorithm is adopted to cluster the users, based on the introduced indicators. Finally, we analyze the traffic flow distribution of each group by constructing a traffic flow network. The results show that the Gini coefficient is 0.4193, which demonstrates evident inequity in the expressway service. Moreover, statistical analysis shows that expressway flow is complicated and 70.77% of travelers do not make repeat trips. It is demonstrated that expressway users can be divided into six groups, and the flow networks of cluster 2 and cluster 3 are connected more closely and evenly than other clusters are.

Evaluation and ranking of battery electric vehicles by Shannon’s entropy and TOPSIS methods

In today’s culture, everyone requires transportation. Polluting vehicles like those that run on gasoline or diesel are being swiftly replaced with all-electric cars. Fully electric vehicles are much more environmentally beneficial because they emit no exhaust. The market for electric vehicles has expanded quickly in recent years, making it difficult for consumers to evaluate them and a major source of concern. Our primary responsibility in this study is to rank the fifteen different brands and types of electric automobiles that are now available for purchase globally based on the established criteria. This study evaluates fifteen different electric vehicles, according to their different ten criteria such as full charge time, purchasing price, quick charge time, maximum power, electric range, battery capacity, top speed, cargo volume, acceleration, and unladen weight. For the assessment in this study, the electric vehicle dataset was obtained from automobile manufacturers. For the evaluation of electric vehicles, we use two methods. The first method, Shannon’s entropy, is used to determine the electric car’s criterion weight, while the second method, TOPSIS, is used to rank electric vehicles. The study’s findings indicate that the quick charge time, maximum power, electric range, battery capacity, top speed, and base price aspects of electric cars gained popularity. An evaluation of electric cars serves as the foundation for the research’s validity.

A Screening Approach to Assess the Impact of Various Commercial Sources of Crude Marine λ-Carrageenan on the Production of Oligosaccharides with Anti-heparanase and Anti-migratory Activities.

Oligosaccharides derived from λ-carrageenan (λ-COs) are gaining interest in the cancer field. They have been recently reported to regulate heparanase (HPSE) activity, a protumor enzyme involved in cancer cell migration and invasion, making them very promising molecules for new therapeutic applications. However, one of the specific features of commercial λ-carrageenan (λ-CAR) is that they are heterogeneous mixtures of different CAR families, and are named according to the thickening-purpose final-product viscosity which does not reflect the real composition. Consequently, this can limit their use in a clinical applications. To address this issue, six commercial λ-CARs were compared and differences in their physiochemical properties were analyzed and shown. Then, a H2O2-assisted depolymerization was applied to each commercial source, and number- and weight-averaged molar masses (Mn and Mw) and sulfation degree (DS) of the λ-COs produced over time were determined. By adjusting the depolymerization time for each product, almost comparable λ-CO formulations could be obtained in terms of molar masses and DS, which ranged within previously reported values suitable for antitumor properties. However, when the anti-HPSE activity of these new λ-COs was screened, small changes that could not be attributed only to their small length or DS changes between them were found, suggesting a role of other features, such as differences in the initial mixture composition. Further structural MS and NMR analysis revealed qualitative and semi-quantitative differences between the molecular species, especially in the proportion of the anti-HPSE λ-type, other CARs types and adjuvants, and it also showed that H2O2-based hydrolysis induced sugar degradation. Finally, when the effects of λ-COs were assessed in an in vitro migration cell-based model, they seemed more related to the proportion of other CAR types in the formulation than to their λ-type-dependent anti-HPSE activity.

Analysis of Noise Levels in Typical Passenger Cars

Passenger cars differ in their levels of emitted noise and mileage, which can have a negative impact on the environment and humans. This was confirmed by the results of this study on the noise levels generated by passenger cars that have the same parameters, or are of one type. The loudest place in the tested vehicles turned out to be the combustion engine compartment, with the average noise level exceeding 90 dB and exhibiting a noticeable, significant increase alongside an increase in the mileage of the vehicles. This value of noise intensity is classified as dangerous for the human body. As a result of the conducted tests, it can be concluded that an engine cover is an important element in damping the sounds emitted by an internal combustion engine after the use of an aluminum heat shield to increase noise absorption. In the future, the environmental problem of noise emission from cars can be solved by encouraging the use of quieter, electric vehicles.

Estimating Demand for Passenger Cars : A Model for the Indian Market

Purpose : This study analyzed trends in Indian passenger car sales for the decade 2010–2011 to 2019–2020. These trends were decoded via demand functions estimated using multiple linear regression. This has crucial theoretical and managerial implications. Methodology : Multiple linear regressions were carried out using SPSS for different segments of the passenger car industry, namely, mini, compact, super compact, mid-size, executive, and premium. While sales of passenger vehicles were the dependent variable, personal disposable income, product price, fuel price, and interest rates were explanatory variables. Secondary data from the Society of Indian Automobile Manufacturers (SIAM), State Bank of India (SBI), Indian Oil Corporation Limited (IOCL), and the Ministry of Statistics and Programme Implementation (MoSPI) were sourced. Findings : Demand for most types of passenger cars in India has slowed down, except for compact cars. The regressions show that the mini segment is affected by vehicle price and interest rates, and a lower Goods and Services Tax (GST) for small cars could boost sales. In the compact segment, the price remains a significant factor. Interest rates matter most for the super compact segment, while the preference for better category cars or utility vehicles increases with rising income for mid-size and executive segments. Practical Implications : A demand-side analysis can benefit companies and inform policy decisions to overcome the recent slowdown. The regression model can advance theory and academic research and aid in supply chain management, demand forecasting, and inventory management studies. Originality : Unlike prior research on the Indian automobile sector, this study bifurcates the heterogeneous market into segments and conducts econometric analyses.

Perancangan Diorama Sebagai Media Promosi Toko Mainan Fabian Hot Wheels di Surakarta

Abstract Hot wheels are a type of miniature car with metal and plastic materials. Shapes and colours Design are made to resemble the original cars of many brands. The selling value of Hot Wheels products is the limited number of productions, so it makes them rare. Fabian Hot Wheels has been in the Hot Wheels product business for a long time and has become an alternative store for Hot Wheels products in Solo. It is due to the prices offered are relatively cheap. The rise of consumer interest in Hot Wheels car products has resulted in many similar competitors. This is indicated by the inclusion of Hot Wheels products at Gramedia and toy stores at the Mall. Efforts to attract new consumers and retain old customers require something exciting. Moreover, they have cultural and geographical values close to the surrounding community's values in the form of a Hot Wheels car track diorama. The design method for this diorama marketing media is data collection and interviews with related parties. Diorama as a promotional medium for hot wheels is expected to increase interest in Hot Wheels. Keywords Design, Diorama, Hot Wheels

Classification of Engine Type of Vehicle Based on Audio Signal as a Source of Identification

In this work, a combination of signal processing and machine learning techniques is applied for petrol and diesel engine identification based on engine sound. The research utilized real recordings acquired in car dealerships within Poland. The sound database recorded by the authors contains 80 various audio signals, equally divided. The study was conducted using feature engineering techniques based on frequency analysis for the generation of sound signal features. The discriminatory ability of feature vectors was evaluated using different machine learning techniques. In order to test the robustness of the proposed solution, the authors executed a number of system experimental tests, including different work conditions for the proposed system. The results show that the proposed approach produces a good accuracy at a level of 91.7%. The proposed system can support intelligent transportation systems through employing a sound signal as a medium carrying information on the type of car moving along a road. Such solutions can be implemented in the so-called ‘clean transport zones’, where only petrol-powered vehicles can freely move. Another potential application is to prevent misfuelling diesel to a petrol engine or petrol to a diesel engine. This kind of system can be implemented in petrol stations to recognize the vehicle based on the sound of the engine.

Analyzation of the Application Scenarios of Ackerman Geometry based on Vehicle Steering Model

A complete set of models about vehicle steering are established to testify the feasibility of Ackerman geometry applied in various scenarios. The relationship between different parameters from cars and how they affect the steering ability is studied by Python. Linear model and nonlinear model are built to adapt to small and big slip angle. The mechanism section is tested with data from two types of cars: BMW M3 and Chevrolet Cavalier. We find that M3 has a better steering capability since it can generate more lateral force with less sideslip. The relationship between slip angle and lateral force illuminates our research about Ackerman geometry. The result indicates that regular Ackerman principle is beneficial in the big wheel steering angle with low-speed conditions, because it can reduce the slip angle and tire-road interaction, making cornering smoother and reducing tire wear. However, in small wheel steering angle with high-speed conditions, the Ackerman principle has some limitations and should be amended, which adds to the slip angle and thus increase the lateral force to get better steering. That is basically the reason why Reverse Ackerman is widely applied in Formula 1.

Design Fire Methodology for Vehicle Spaces Onboard Ships

The purpose of this paper is to contribute towards establishing procedures of assessment of the fire safety of Ro–Ro ship cargo spaces, by employing suitable design fires. Data collected from fire experiments involving vehicles are utilized in order to deduce representative heat release rates for common types of passenger cars and heavy goods vehicles (HGVs). An existing mathematical scheme for generating parametric heat release rate curves is extended for handling vehicle fire scenarios. The methodology is demonstrated through a case study. In particular, the Fire Dynamics Simulator (FDS) code is used for investigating fire propagation on the vehicle deck of a Ro–Ro ship, initiated from a single HGV. On this deck are assumed to be transported a combination of cars and HGVs. The evolution of the fire is assessed assuming different ventilation conditions. The circumstances for spreading to adjacent vehicles are examined. Human survivability and the time that the deck remains accessible are evaluated by considering the International Maritime Organization (IMO) life safety performance criteria.

Fuelling the sustainable future: a comparative analysis between battery electrical vehicles (BEV) and fuel cell electrical vehicles (FCEV)

With the advancement of technology in recent decades and the implementation of international norms to minimize greenhouse gas emissions, automakers have focused on new technologies connected to electric/hybrid vehicles and electric fuel cell vehicles. Alternative fuel sources like hydrogen and electricity have been introduced as a sustainable, lower-emission alternative to burning fossil fuel. BEVs or battery electric vehicles are typical electric cars with a battery and electric motor that have to be charged. FCEVs, or fuel cell electric vehicles, have a fuel cell that converts pure hydrogen into electricity via reverse electrolysis to charge a battery connected to an electric motor. The lifecycle costs of the BEV and FCHEV are comparable; however, depending on driving patterns, one may be more advantageous than the other. This study compares the most recent proposed fuel-cell electric car topologies. This paper aims to find out which fuel alternative is more sustainable, looking forward to the future. An analysis was conducted by comparing different fuel cells' and batteries' efficiencies, performance, advantages, and disadvantages.

"DEVELOPMENT OF THE CONCEPT OF A HYBRID POWER PLANT BASED ON A CAR "

"The article reflects information about the current state of development of car designs with a hybrid power plant. The authors are conducting research work to create a prototype of an energy-efficient hybrid power plant based on a passenger car. The result of the work is an increase in the environmental safety of cars and efficiency. The basic schematic diagrams of hybrid power systems of passenger cars have been studied. Hybrid drive options included a version for rear-wheel drive and all-wheel drive layouts. The power plant of a hybrid car with a parallel, sequential and series-parallel construction scheme is considered. Taking into account the advantages and disadvantages of all types of hybrid car drive schemes, the most suitable one has been selected. A small-sized car «Oka» was chosen as the base for the project. The car is modified to all-wheel drive, the electric motor is installed on the rear axle. The article contains a brief traction and dynamic calculation of an electric vehicle. According to the calculation results, an electric motor was selected. The technical solution is to develop an independent rear suspension with a subframe for mounting a gearbox with an electric motor and using hinges of equal angular velocities, which increases the cost of its design, but is the optimal solution for implementing such a scheme. Keywords: hybrid power plant, drive, electric motor, transmission, generator, car."