Ultimate car speed sensor

## Inspiration

As Thailand has the world's highest percentage of traffic accidents. And, according to research, the cause of the collision is that some roads and crosswalks do not have enough lighting, making it difficult for drivers to notice pedestrians. As a result, we devised this strategy. Road transport plays a significant part in the lives of people in almost any city in the world, including those of people who live in Bangkok, Chiang Mai, and any other city in Thailand. However, the number of traffic accidents occurring in Thailand has been rising and, according to a global status report on road safety by WHO, the fatality rate from traffic incidents on Thai roads is the highest out of all countries in SouthEast Asia and is considered one of the highest of all countries in the world. According to a report and guidebook from Road Safety Policy Foundation(RSPF), one of the leading causes of the incidents is the insufficiency of street and crosswalk lights. We were fascinated by this particular topic of the importance of sufficient street lighting and decided to work on developing a light-notification system. The system we created consists of two main parts, the sensor-analyst and the notification light, and will hopefully be applicable to enhance safety for both drivers and pedestrians across the country and many more.

What it does

The projects we work on are intended to reduce the number of traffic accidents that occur around the world. As a result, we will be able to collect data on how fast each car is driving at the moment. It can also warn those who are crossing the road irresponsibly, lowering the accident rate caused by both drivers and pedestrians.

• this system aims to reduce road accident rate by optimizing road safety using both immediate warning system and data collection
• collect data that can be used for system analysis and enhancement of road safety regulations
• An immediate warning light will raise awareness of both pedestrians who cross zebra-crossing while there is a vehicle approaching at a high speed and the drivers themselves. The light will likely increase the chance of both parties recognizing one another whether it is the pedestrians realizing that there is a car approaching him/her or the driver who will hopefully reduce him/her car speed to avoid a collision.

How we built it

First and foremost, since our project requires data storage such as time, speed, and other variables, we must learn how to code the programming of various systems. We decided to use Arduino's built-in programming language. After learning the code section, you'll be able to use C++. We began the circuit. Purchase the necessary components, such as an Arduino uno and an IR sensor, then continue developing after they have been received. We start the project by putting our code from the beginning into place.

Challenges we ran into

After finding inspiration for the innovation, we have decided to make a prototype. The prototype was very challenging to do due to the difficulties in processing each step. We have written a code in c language to use with an Arduino combined with two sensors to measure the speed of the car. The results are shown in the form of light through the LED. In the parts of coding and circuitry, there are problems that occur during the process such as code errors, incomplete circuits, etc. In which, to solve each problem there will be different challenges that we have to solve.

Accomplishments that we're proud of

During the process of preparing the launches of our prototype, we have gained a lot of skills in coding and awareness about road safety. At first, we knew nothing about Arduino except the fact that it had potential in our project. But after learning the fundamentals of it, we started to enjoy modifying code to calculate the speed of the car passing our sensor while also collecting data. Nonetheless, we encountered an obstacle along the way. We could not run the circuit. However, we do not give up, instead we seek advice. Alas, we managed to pull it off because of our team's problem-solving skills and our contribution. Furthermore, during the process, we have also learned about the road safety problem. We found out that Thai’s road safety is very poor due to the insufficient lights at the street and crosswalk, which could lead to an accident. In conclusion, “the more you know” is a meme on the internet that perfectly fits in this situation. We learned a lot during the project which created an accomplishment we are all proud of.

What we learned

Throughout the project, we have learned several electrical, technical skills as well as soft skills. In terms of technical skills, we develop a better understanding of the different applications of microcontrollers, especially Arduino, the one that we used. For coding, with the help of our friends, teachers and professors, we were able to learn the basics of programming in C/C++ languages and practiced writing project-related codes. We also look into circuit construction and speed, distance and time calculation, the understanding of the circuit and data received from the model help us determine the accuracy and potential of this model. As for soft skills, we Have learned the importance of patience and dedication. From facing difficulties in each step of the project, whether it is coming up with the system itself or executing the prototype, we learned that in order to develop a good understanding or accomplish things that we are yet to process expertise requires a great deal of time, advice and experiments. But the results of all that we learned are rewarding, we did not only achieve prototype execution, but also learned many useful skills that can be made use of in the future, too.

What's next for Untitled

The team’s intention is to create an easy to understand and affordable prototype. Thus, in order to make use of the system in the real world, both the hardware and the system will have to be changed or modified. There will need to be data storage, data analysis system and software personnel who will make use of the collected data of car speed detected by the system. Another point is that the Arduino microcontroller will not be suitable for real world application as Arduino is more suitable for experimentation or prototyping while other boards, for instance the BeagleBone Black, might be more suitable for large-scale, industrial usage. There will be the cost of building the system, installing the panel and the lights, and having personnels to analyze the data and modify the system to suit each street the system was installed on. But on the other hand, if this system is enforced to be installed everywhere, or at least on the street where incidents occur frequently, it will help reduce loss from traffic incidents and hopefully make Thai roads, and even roads in other countries, more safe to travel on.

Built With

• https://github.com/kennyathit/code/blob/main/ultimate%20car%20speed%20sensor.md