Car Breakdowns Research Articles

Development of Mobile Application with Geolocation Technology for Car Service Workshop

Mobile application with geolocation function has been on the market for quite some time. It has been implemented on most of the application to detect the user current location. With the lack of use and awareness of this features, we took that opportunities to develop mobile app and collaborate with YS Auto Workshop. It will detect the customer current location when they request for car breakdown from YS Auto workshop. Notification will be sent to the manager of the workshop and can see the marker on user current location and take an action. Main objectives are to design and develop mobile app and to evaluate its usage using user acceptance test in improving the user needs. Agile methodology has been used based on requirement and it is suitable in the development of mobile application. The development of the system has use agile method which has fifth phases including planning, analysis, design, development, and testing. Three expert users involve during Functionality Testing meanwhile thirty random selected respondents from district of Batang Kali involved in the experiment and perform Heuristic Evaluation and User Acceptance Test questionnaires. Analysis shown that application is interesting and helpful. The system is developed successfully and can make more improvement for the future.

Modeling inventory and environmental impacts of car maintenance and repair: A case study of Ford Focus passenger car

Maintenance and repair are necessary to maintain the car's functions throughout its life. As the car ages, maintenance and repairs are becoming more common and consume more and more resources and energy. In this study, the Life Cycle Assessment (LCA) methodology was used to a case study of different maintenance scenarios of internal combustion engine passenger car. The LCA examination is focused on thorough maintenance inventory of a popular compact car, Ford Focus II. The examination considered different maintenance scenarios. The first followed Ford Maintenance Schedule. The other was made to include car breakdown cases, as reported by car users. Both scenarios of maintenance and repair were analyzed using data from 40 vehicles regularly using Ford authorized service center. Material inventories in other stages of the car life cycle were modeled with Ecoinvent data. The environmental impact of maintenance and repair was another focus of the study. The inventories were combined to model different car maintenance scenarios. Each vehicle scenario was further modeled in ICE diesel and petrol versions to compare their maintenance and repair options and to compare data with earlier studies. Another model described a diesel engine version with earlier oil exchange, which often ocuurs in cars that are used mainly in urban environment.The main conclusion is that a new level of thoroughness of inventory data provides by 58% higher effect of car maintenance and repair in a petrol car and by 95% higher in a diesel compared to earlier research. For the scenario with shortened oil exchange interval the effect is twice as great.

THE PROBLEM OF BREAKS AUTOMATIC COUPLING

The problem of breaks automatic coupling is becoming urgent for outbound transport. in the robot, a number of defects are shown, which were found in the damaged car parts. Carrying out an analysis of the equipment of the vehicle will indicate the presence of a stock of performance, and if there is a defect in the deteriorated parts of the vehicle, it will be overwhelmed by the stock. An analysis of the normative documentation and methods in the control of car breakdowns is necessary to provide information on the methods of ruinous and non-rudimentary control, so that it can be done when preparing and repairing car breakdowns. Tom found the crocodile in the first place in the world of problems and is to blame for the increase in the quality of control to the body of the vehicle. Proponent is the acoustical control, and the very thin or mirror-thin method for the control of the shank of the autozchep in the screw hole before the wedge of the traction clamp. The robots of the methods runtuyu on the change in the amplitude of the signal when passing through the discontinuity of the metal, which allows the appearance of internal defects. These methods allow the appearance of significant internal defects such as metal discontinuities, but also to reduce the speed of car breakdowns through the appearance of this type of defect. On the basis of the obvious methods for the control of internal defects, the methods are projected that are irregular and can be stagnated to all auto-breakdowns due to minor preparation of the surface for control.

Safety assessment of local cooperative warnings and speed limit information

The study was designed to assess the impacts of cooperative intelligent transport systems (C-ITS) on traffic safety. The aim was also to review assumptions made in some previous studies and verify or update the earlier safety estimates. Seven informative C-ITS services warning about various situations and hazards were selected in the study. The expert estimates provided were grounded on new evidence about driver behaviour, the crash categories created in the European Risk Calculation tool (ERiC), and literature. The C-ITS services were assessed to reduce the number of fatalities and injury crashes. The clearly biggest drop in fatalities was assessed for ‘In-vehicle signage, speed limit’, ‘Weather warning’ being the second most effective. The next effective were assessed to be ‘Warning of emergency braking ahead’ and ‘Road works warning’. The smallest but still positive impacts were assessed for ‘Traffic jam ahead warning’, ‘Car breakdown warning’ and ‘In-vehicle signage, child and pedestrian crossing ahead’. Generally, the effectiveness was assessed to be somewhat smaller for injury crashes than fatalities. The authors conclude that the results are positive both for implementing C-ITS services as such and as supporting measure for the deployment of more intervening ITS and automated driving.

The Commercial Model of Car Breakdown Recovery Service in China

With the rapid increasing of automobiles in China, there are the pressing needs of highefficient vehicle rescue system. However, lagging development of the latter brings heavy economic losses in China currently. In order to improve the roadside assistance system, this paper carries out a survey of both car owner’s and service providers’ opinions toward the Chinese current vehicle rescue service. According to deciding factors the extensive road exploration has been conducted to select elementary service providers with starting scores. Applying algebraic algorithm and information technology, this paper finally builds a commerce-based model, comparing with membership-based model in abroad, to calculate the Service Providers’ Value (abbreviated as SV) to choose the optimal service provider. The result of this study would help working companies to conduct a more efficient and cost-efficient automobile rescue service.

Anti-fog System for High Speed Vehicles Using WI-FI

Smog is considered as a serious worldwide problem especially in Asian countries resulting sometimes in fatal injuries. Wireless communication can play a vital role in solving this problem effectively. In this paper, a novel offline system is proposed and designed to drive the vehicles safely in a dense smoggy atmosphere where nothing is visible to the driver. The system utilizes off the shelf wireless fidelity modules operating in station mode for moving vehicles and access point mode for immobile vehicles to enable the driver to drive along a smoggy path in case if any vehicle is stopped on the motorway due to any reason (accident, car breakdown etc.) along with the use of node microcontroller unit, ultrasonic sensors and accelerometer. Ultra Sonic sensors installed on vehicle show the distance of front objects to let him drive safely. Additionally, an android application is also designed so that the users having an Internet resource can see road hazards (speed breakers, potholes, debris etc) ahead. The K-means clustering method using elbow technique is used to analyze the mobile phone’s global positioning system coordinates and speed of vehicle to do effective road monitoring. The proposed system would not only be helpful for the drivers to drive smoothly on the road in foggy environment and avoid unforeseen catastrophes but can also be used for effective road monitoring.

An Expert System to Diagnose and Fix Common Car Breakdowns for Industrial Technical Education in Egypt

An Expert System to Diagnose and Fix Common Car Breakdowns for Industrial Technical Education in Egypt

Virtual Patrolling

Approximately 25 per cent of all congestion on motorways is caused by incidents. By virtual patrolling, incidents e.g. queues, accidents and car breakdowns on a road network, can be predicted or detected in an early stage. This early detection and prediction of an incident likely to happen, offers the opportunity to act faster and therefore reduce congestion compared to current practice. A module is developed capable of virtual patrolling and based on four key features: data fusion, real-time estimation of the fundamental diagram, fuzzy traffic state estimation and artificial neural networks. In CHARM, the cooperation between the Highways England (UK) and Rijkswaterstaat (NL), the potential of this module has been demonstrated in a simulation environment and in 2015 further developed, deployed and tested in real life.Extended Kalman filtering and traffic flow theory algorithms are used to fuse data from loop detectors with FVD (floating vehicle data) to provide detailed traffic state data (i.e. flow and speed for 10seconds for every segment of approximately 200 meters). For the prediction of the future traffic state, information on the actual road capacity is necessary. Road capacity varies for weather, lightness, number of heavy vehicles et cetera. A self-adapting module is used to make a real time estimation of the fundamental diagram and road capacity. The traffic state estimation itself is based on fuzzy logic to determine to what extent the traffic state is free flow or congested. If only speed data is available, alternative simplified fuzzy logic rules are applied. The fuzzy traffic state estimations for separate segments is combined into a combined traffic state estimation. This traffic state estimation is used as input for artificial neural networks (ANN) to predict whether it is likely that a queue will form within the short-term future (within 10minutes) on a relevant segment. This is defined as a segment that suffers from queues on a frequent basis.The results of these estimations will be used for virtual patrolling to distinguish between normal and expected congestion and other situations. Information from the modules can also be used for the detection of prediction of shockwaves. This can be of help to act faster when incidents happen and to prevent or solve shockwaves by giving (in-car) advices on speed and lane choice to car users.

Agent Based Intelligent Traffic Management System for Smart Cities

The performance of traffic systems is greatly dependent on their ability to react to changing traffic patterns and different situations. On traditional traffic systems, the lights run green for fixed intervals of time no matter what the density of the traffic is. Here, we implement an intelligent-agent traffic model that controls the amount of time a light runs green for, based on the number of cars (density) standing in the light. With an increase in the pace at which we lead our lives, time is of the essence. One place where time is wasted is on the road being stuck in traffic jams due to mismanagement of traffic. The effectiveness of (urban) traffic control systems greatly depends on its ability to react upon changes in traffic patterns, however, conventional traffic control systems, being unintelligent are unable to do this. Be the traffic density, high or low, the signals are timed and run according to those times only. This results in increased congestion along the roads which also results in significant air pollution, an increased safety risk and also has a negative effect on the populace's mental wellbeing. It is only when the ability to react becomes an integral part of the traffic control unit, its ability to react to changes in traffic conditions improves. The responsive control system should have sufficient knowledge of the situation to be able to handle unforeseen changes in traffic flow, such as accidents or car break-down. Intelligent signal control systems must have the capability to optimize the traffic flow by adjusting the traffic lights and co- ordinate operation between each signal in order to maximize the person and vehicular throughput and minimize delay. For intelligent urban traffic control, we ideally need a fully pro-active, real-time traffic control system; anticipating what will happen within the near future. 2. Need for Smart City A smart city (also smarter city) uses digital technologies or information and communication technologies (ICT) to enhance quality and performance of urban services, to reduce costs and resource consumption, and to engage more effectively and actively with its citizens. Smart city applications are developed with the goal of improving the management of urban flows and allowing for real time responses to challenges (18).A

A portable knowledge-based system for car breakdown evaluation

Modern cars have many dashboard lights and not all drivers recognize or know the importance of all of them. Red symbols usually indicate a safety issue or a serious problem, meanwhile yellow symbols use to indicate a not so urgent problem. Green and blue symbols usually provide information about the systems connected. But not all the red icons require of the same action, and the user manuals of most modern cars, with their sophisticated electronic systems, have hundreds of pages. Meanwhile, smart devices have become popular and have an outstanding computing power plus Internet connection. Consequently, the conditions for developing a knowledge-based system that helped the unaware driver in case a dashboard light went on, exist. The application should evaluate the situation and recommend the best actions to be carried out by the driver (regarding the possible repair on site or at a workshop, its urgency or even the need to immobilize the vehicle immediately). We have designed such a knowledge-based system and have developed a simplified one as example. A friendly Graphical User Interface has been developed in order to ease the communication with the application and its use in remote using any smart device with Internet connection.

A Comparison of Marginal and Joint Generalized Quasi-likelihood Estimating Equations Based On the Com-Poisson GLM: Application to Car Breakdowns Data

In this paper, we apply and compare two generalized estimating equation approaches to the analysis of car breakdowns data in Mauritius. Number of breakdowns experienced by a machinery is a highly under-dispersed count random variable and its value can be attributed to the factors related to the mechanical input and output of that machinery. Analyzing such under-dispersed count observation as a function of the explanatory factors has been a challenging problem. In this paper, we aim at estimating the effects of various factors on the number of breakdowns experienced by a passenger car based on a study performed in Mauritius over a year. We remark that the number of passenger car breakdowns is highly under-dispersed. These data are therefore modelled and analyzed using Com-Poisson regression model. We use the two types of quasi-likelihood estimation approaches to estimate the parameters of the model: marginal and joint generalized quasi-likelihood estimating equation approaches. Under-dispersion parameter is estimated to be around 2.14 justifying the appropriateness of Com-Poisson distribution in modelling underdispersed count responses recorded in this study. Keywords—Breakdowns, Under-dispersion, Com-Poisson, Generalized Linear Model, marginal quasi-likelihood estimation, joint quasi-likelihood estimation.

A Simulation Tool for Hurricane Evacuation Planning

Atlantic hurricanes and severe tropical storms are a serious threat for the communities in the Gulf of Mexico region. Such storms are violent and destructive. In response to these dangers, coastal evacuation may be ordered. This paper describes the development of a simulation model to analyze the movement of vehicles through I-65, a major US Interstate highway that runs north off the coastal City of Mobile, Alabama, towards the State of Tennessee, during a massive evacuation originated by a disastrous event such a hurricane. The constructed simulation platform consists of a primary and two secondary models. The primary model is based on the entry of vehicles from the 20 on-ramps to I-65. The two secondary models assist the primary model with related traffic events such as car breakdowns and accidents, traffic control measures, interarrival signaling, and unforeseen emergency incidents, among others. Statistical testing was performed on the data generated by the simulation model to indentify variation in relevant traffic variables affecting the timely flow of vehicles travelling north. The performed statistical analysis focused on the closing of alternative on-ramps throughout the Interstate.

Card marketing enhancements designed to protect interchange

Free travel insurance, extended warranties, car breakdown coverage, concierge services, legal advice, airport lounge access, shopping discounts, travel upgrades, special invitations to art exhibitions, sports matches and other events. What bank doesn’t offer these card marketing enhancements?

9.2.3 Successful Implementation and Application of Continuous Risk Management to Complex Systems Development in the Automotive Industry

AbstractCurrently, more than 90% of the innovation in the automobile industry is driven by new ideas in the electric and electronic sector (Frischkorn 2004). Due to the increased complexity of the electrics/electronics (E/E) system, car breakdowns today are more often not mechanical in nature, but are likely due to a defect in the electrics/electronics system (ADAC 2004). As a result the development of a more reliable automobile E/E system is a major concern for car manufacturers around the world in order to produce innovative and reliable cars and remain competitive.Besides sound requirements engineering and effective project management, the key to dealing with the increasing complexity of E/E system development is to identify potential system problems throughout the development process and respond with appropriate actions to mitigate potential adverse impacts and thus achieve the project objectives. This issue can be accomplished by implementing a continuous risk management (RSKM) approach focused on the development of the E/E system.This paper illustrates a practical, proven approach applied to new product development at the BMW Group. The approach enables proactive risk identification and mitigation to obtain more transparency in the development of the complex E/E system of an automobile.

A generating process for police patrol car breakdowns: Implications for maintenance facility staffing

This paper examines the Poisson process, which has proven useful in several public sector analyses, as a model of a police patrol car breakdown process. On the basis of available patrol car breakdown data for a 1-yr period, the Poisson was found to be a good model of patrol car breakdowns in a city of approximately 175,000 population. Results of both chisquare and Kolmogorov-Smirnov tests are presented. Finally, implications of the Poisson model for maintenance facility staffing are discussed.