Smart crisis management vehicular system
A smart vehicle system is a complex system that intends to revolutionize the automobile so that it can make intelligent decisions on its own. The smart crisis management vehicular system that we are designing consists of three subsystems: 1. Accident detection system 2. Accident prevention sy
2025-06-28 16:35:12 - Adil Khan
Smart crisis management vehicular system
Project Area of Specialization Electrical/Electronic EngineeringProject SummaryA smart vehicle system is a complex system that intends to revolutionize the automobile so that it can make intelligent decisions on its own. The smart crisis management vehicular system that we are designing consists of three subsystems: 1. Accident detection system
2. Accident prevention system
3. Anti-theft system
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1 Accident detection system:
The purpose of the Accident detection system is to help reduce fatalities stemming from car accidents by decreasing the response time of emergency responders. Smart phones and their onboard sensors (such as GPS receivers and accelerometers) are promising platforms for constructing such systems. The Accident detection system starts when the accelerometer detects a possibly fatal disturbance in the vehicle. Immediately it sends a signal to the Arduino which in turn sends the GPS coordinates (received from the GPS module) to the emergency services using a GSM module.
2 Accident prevention system
A collision avoidance system, also known as forward collision warning system or a collision mitigation system is an automobile safety system designed to prevent or reduce the severity of a collision. This system is implemented using a HCSR04 ultrasonic sensor and an Arduino. The sensor detects whether the vehicle will crash into an object or not. When the distance between the vehicle and the object is less than a certain limit the sensor sends a digital signal to the Arduino and then Arduino sends a signal to the L298 motor driver which then turns of the car.
3 Anti-theft system
The Anti-Theft system for the smart vehicle is created by adding a fingerprint lock on the door handle using the DY50 optical fingerprint reader which is connected to the Arduino. If the fingerprint does not match the owner of the car he/she will get a notification on their phone using the GSM module.
Project ObjectivesDiscover and implement all the techniques which can be implemented to make the automobile more secure and reduce the possibility of an accident.
The real time tracking of location of the vehicle through GPS along with accident detection system using GSM and GPS and intelligent braking system are the three subsystems that are included in smart crisis management vehicular system .The primary requirements of this project is to give a reliable security system and autonomous braking in case of failure of brake implementation on time .The accident detection system on the other hand gives a smart sense of security and reliability that in case of accident the driver could receive medical aid on time. Recent work has been proposed related to this field .The automotive industry is in high demand of making such valuable system for the protection of citizens.
Project Implementation MethodCreate a small model car then implement different systems on it such as an accident detection system,accidnet prevention system, a virtual assitant program etc
Benefits of the Project#1. Reduction in traffic deaths
Yes, you read that right.
The United States Department of Transportation (USDOT) predicts that the rise of driverless cars will see the number of traffic deaths fall drastically. In 2017 it reported 37,133 deaths as a result of vehicle crashes (94% of which are down to human error), so a 90% reduction would save 30,000 lives in a single year.
#2. 60% drop in harmful emissions
Fewer accidents mean less traffic congestion, which means a drop in emissions.
But this is not just due to a reduction in accidents.
Ohio University's Future of Driving report states that harmful emissions will be reduced by 60% after the advent of autonomous vehicles.
#3. Eliminate stop-and-go waves by 100%
Autonomous cars could eliminate the waves of traffic created by stop-and-go behaviour (where humans, rather than road accidents, develop changes in speeds) according to research at the University of Illinois at Urbana-Champaign.
This, in turn, will not only save people time but decrease the time their cars are on the roads and therefore reduce emissions.
#4. 10% improvement in fuel economy
Rand’s Autonomous Vehicle Technology guide states that self-driving cars will provide a reduction in fuel economy by between 4% and 10%.
This is supported by the Ohio University study, which puts a figure of 3.1 billion gallons of fuel as the amount wasted by US drivers each year.
#5. 500% increase in lane capacity
The same Rand report also predicts that lane capacity could increase by a staggering 500%.
The State Smart Transportation Initiative only puts this figure at 100% (still an impressive increase), which it says, in turn, could result in a 20% increase in traffic speeds.
#6. 40% reduction in travel time
UK citizens’ travel time could be reduced by 40%, according to KPMG’s Connected and Autonomous Vehicles
The result?
A saving of £20bn in increased productivity and better use of time for people who would otherwise have been travelling in vehicles.
Meanwhile, in the US, autonomous cars are expected to save workers 80 billion hours lost to commuting, which will save the economy US$1.3tn.
#7. Consumer savings of £5bn
In the UK, according to KPMG, the savings to be had on reduced insurance costs, reduced running costs and parking mean the UK consumer market would save £5bn a year.
And there's more.
Autonomous cars are also expected to solve the 'last mile problem' (whereby people struggle to travel the final mile between their home and the public transport drop off point).
It should supplement public transport, utilizing the reduction in traffic and the autonomous car's ability to find a parking space and park all by itself.
Moreover, there is a predicted drop in taxi wait time of 88% when autonomous taxis are used, 15% less space needed for parking and enhanced mobility for seniors in an ageing population.
Technical Details of Final DeliverableTime will tell.
Final Deliverable of the Project HW/SW integrated systemCore Industry ManufacturingOther Industries IT , Health Core Technology RoboticsOther Technologies Internet of Things (IoT)Sustainable Development Goals Decent Work and Economic Growth, Industry, Innovation and InfrastructureRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 65000 | |||
| Rasberry Pi | Equipment | 2 | 7000 | 14000 |
| Miscellaneous costs | Miscellaneous | 1 | 10000 | 10000 |
| ESP32 board | Equipment | 1 | 1000 | 1000 |
| Different Modules for arduino | Equipment | 1 | 10000 | 10000 |
| Lidar sensor | Equipment | 1 | 5000 | 5000 |
| Oscilloscope/multimeters | Equipment | 1 | 20000 | 20000 |
| ESP32 cam | Equipment | 1 | 5000 | 5000 |