Embarking on an “Automobile project” necessitates a blend of innovation and precision engineering. At Macro IoT Solution & Engineering Services, we specialize in empowering your automotive endeavors with state-of-the-art technologies and comprehensive solutions. Our expertise extends across the spectrum of automotive design, development, and optimization, ensuring your project achieves unparalleled success in the dynamic landscape of the automotive industry.

In the realm of automotive innovation, the “Automobile project” stands as a testament to progress and ingenuity. At Macro IoT Solution & Engineering Services, we recognize the significance of harnessing emerging technologies to drive transformative advancements in the automotive sector. Whether it’s enhancing vehicle performance, integrating smart functionalities, or revolutionizing manufacturing processes, our team is dedicated to delivering tailored solutions that propel your project to new heights of success.

Electronic Toll Collection System using Passive RFID Technology

This paper focuses on an electronic toll collection (ETC) system using radio frequency identification (RFID) technology. Research on ETC has been around since 1992, during which RFID tags began to be widely used in vehicles to automate toll processes.

The proposed RFID system uses tags that are mounted on the windshields of vehicles, through which information embedded on the tags are read by RFID readers.

The proposed system eliminates the need for motorists and toll authorities to manually perform ticket payments and toll fee collections, respectively. Data information is also easily exchanged between the motorists and toll authorities, thereby enabling a more efficient toll collection by reducing traffic and eliminating possible human errors.

Project: Automobile Projects

Real Time Vehicle Locking and Tracking System using GSM and GPS Technology-An Anti-theft System:

This project deals with the design & development of a theft control system for an automobile, which is being used to prevent/control the theft of a vehicle. The developed system makes use of an embedded system based on Global System for Mobile communication (GSM) technology. The designed & developed system is installed in the vehicle.

An interfacing mobile is also connected to the microcontroller, which is in turn, connected to the engine. Once, the vehicle is being stolen, the information is being used by the vehicle owner for further processing the information is passed onto the central processing insurance system which is in the form of the SMS, the microcontroller unit reads the SMS and sends it to the Global Positioning System (GPS) module and using the triangulation method, GPS module feeds the exact location in the form of latitude and longitude to the user’s mobile.

By reading the signals received by the mobile, one can control the ignition of the engine; say to lock it or to stop the engine immediately. The main concept in this design is introducing the mobile communication into an embedded system. The designed unit is very simple & low cost. The entire designed unit is on a single chip.

Automobile Project


  • Automobile Projects,
  • Embedded Projects,
  • Security Projects,
  • Telecommunications Projects.

Vision and Radar Sensor Fusion for Advanced Driver Assistance Systems:

The World Health Organization predicts that by the year 2030, road traffic injuries will be one of the top five leading causes of death. Many of these deaths and injuries can be prevented by driving cars properly equipped with state-of-the-art safety and driver assistance systems. Some examples are auto-brake and auto-collision avoidance which are becoming more and more popular on the market today.

A recent study by a Swedish insurance company has shown that on roads with speeds up to 50 km/h an auto-brake system can reduce personal injuries by up to 64 percent. In fact, in an estimated 40 percent of crashes, the auto-brake reduced the effects to the degree that no personal injury was sustained.

It is imperative that these so-called Advanced Driver Assistance Systems, to be really effective, have good situational awareness. It is important that they have adequate information of the vehicle’s immediate surroundings.

Where are other cars, pedestrians or motorcycles relative to our own vehicle? How fast are they driving and in which lane? How is our own vehicle driving?

Are there objects in the way of our own vehicle’s intended path? These and many more questions can be answered by a properly designed system for situational awareness. In this thesis we design and evaluate, both quantitatively and qualitatively, sensor fusion algorithms for multi-target tracking.

We use a combination of camera and radar information to perform fusion and find relevant objects in a cluttered environment. The combination of these two sensors is very interesting because of their complementary attributes.

The radar system has high range resolution but poor bearing resolution. The camera system on the other hand has a very high bearing resolution.

This is very promising, with the potential to substantially increase the accuracy of the tracking system compared to just using one of the two. We have also designed algorithms for path prediction and a first threat awareness logic which are both qualifiedly evaluated.


Mean Value Model of the Gas Temperature at the Exhaust Valve:

Over the years many investigations of the gas temperature at the exhaust valve have been made. Nevertheless, the modeling of the gas temperature still remains an unsolved problem. This master thesis approaches the problem by attempting to model the exhaust gas temperature by using the standard sensors equipped in SI engines, together with an in-cylinder pressure sensor which is needed in order to develop certain models.

The concept in the master thesis is based upon a parameterization of the ideal Otto cycle with tuning parameters which all have physical meanings. Input variables required for the parameterization model is obtained from a fix point iteration method. This method was developed in order to improve the estimates of residual gas fraction, residual gas temperature and variables dependent of those, such as temperature at intake valve closing.

The mean value model of the temperature, at the exhaust valve, is based upon the assumption of the ideal gas law, and that the burned gases undergo a polytropic expansion into the exhaust manifold. Input variables to the entire model are intake manifold pressure, exhaust manifold pressure, intake manifold temperature, engine speed, air mass flow, cylinder pressure, air-to-fuel equivalence ratio, volume, and ignition timing.

A useful aspect with modeling the exhaust gas temperature is the possibility to implement it in turbo modeling. By modeling the exhaust gas temperature, the control of the turbo can be enhanced, due to the fact that energy is temperature dependent. Another useful aspect with the project is that the model can be utilized in diagnostics, to avoid hardware redundancy in the creation of the desired residuals.


  • Automobile Projects,
  • Electrical Projects,
  • Sensor Projects.

Design of Switching Strategy for Adaptive Cruise Control Under String Stability Constraints:

An Adaptive Cruise Control (ACC) system is a driver assistance system that assists a driver to improve driving safety and driving comfort. The design of ACC controller often involves the design of a switching logic that decides where and when to switch between the two modes in order to ameliorate driving comfort, mitigate the chance of a potential collision with the preceding vehicle while reduce long-distance driving load from the driver. In this thesis, a new strategy for designing ACC controller is proposed.

The proposed control strategy utilizes Range vs. Range-rate chart to illustrate the relationship between headway distance and velocity difference, and then find out a constant deceleration trajectory on the chart, which the following vehicle is controlled to follow. This control strategy has a shorter elapsed time than existing ones while still maintaining a relatively safe distance during transient process. String stability issue has been addressed by many researchers after the adaptive cruise control (ACC) concept was developed.

The main problem is when many vehicles with ACC controller forming a vehicle platoon end to end, how the control algorithm is designed to ensure that the spacing error, which is the deviation of the actual range from the desired headway distance, would not amplify as the number of following vehicles increases downstream along the platoon. In this thesis, string stability issues have been taken into consideration and constraints of parameters of an ACC controller are derived to mitigate steady state error propagation.

In the ever-evolving landscape of automotive engineering, the “Automobile project” represents a journey of exploration and innovation. With Macro IoT Solution & Engineering Services as your trusted partner, you can navigate this journey with confidence, leveraging cutting-edge technologies and expert guidance to realize the full potential of your automotive endeavors. From concept to execution, we are committed to driving excellence in every aspect of your project, ensuring it not only meets but exceeds expectations in the dynamic world of automotive technology.

Leave a Reply

Your email address will not be published. Required fields are marked *