Intelligent autonomous vehical tracking on MotorWay
The project is one of its own kind, as there is no measurable tool, which will predict that whether vehicle is stopped or having some unavoidable circumstances such as accident or malfunctioning issue during journey over motorway. The project will help the motorway police to j
2025-06-28 16:27:56 - Adil Khan
Intelligent autonomous vehical tracking on MotorWay
Project Area of Specialization Artificial IntelligenceProject SummaryThe project is one of its own kind, as there is no measurable tool, which will predict that whether vehicle is stopped or having some unavoidable circumstances such as accident or malfunctioning issue during journey over motorway.
The project will help the motorway police to judge and predict based on data from sensors and weather condition that vehicle which crossed from initial junctions but not reached at destination within time span or having trouble in the form of road accident.
Project ObjectivesThe objective of the project is to aid the motor police to avoid long delayed accident response so people would receive immediate care.
Aim 1: The project demo will be showcase at motorway police to understand the importance of precautionary measure in the form of predictive model and IOT setup, which will predict timely help to vehical in case road accident happned using AI based predictve techiques and sensors to track location and time.
The people in the area of motorway proactively treated at end of project demo.
Aim 2: The project further would be handover or extend the scope to real enviornment in case it is desired by motorway to implement in real enviornment.
Project Implementation MethodStep 1: The weather data will be collected from weather web site.
Step 2: Sensors are temperature, rain, motion, wifi. bluetooth,and heat which will indicate that car is motion and crossed the station at peritcular time.
Step3: All real time weather and IOT based sensor information will be added togther to predict the car distance. The probable station and rest area the sensors will be installted to record lag time.
Step4: TheAI technique/Algorithm will predict that based on all these paramters the distance travel according to average , best and worse case scenarios.
Step5: The SMS will be sent to motor emergency number if car travel fall in red zone or dangruous zone.
Step6: The motorway police can monitor the dashboard about all possible hazards and red alerts and can send emergency team to that perticular area according to distance travel.
Benefits of the Project- The project will help the motorway police to deploy team which will timely service to people who travel aroud the motorway.
- The project will safegaurd the customers / traveler when there travel is hazardeous..
- It will enhance the performance of motorway police to help the travelers timely.
Deliverable 1: The weather data and sesnor data is recorded in NOSQL over demo model.
Delivereable 2: The prediction will help to forcast the distance travel.
Deliverable 3: Applicaton Interface in PowerBI will help motorway police to monitor the all hazards of travel vehicale.
Deliverable 4: Manual and Report Writing with publish work.
Final Deliverable of the Project HW/SW integrated systemCore Industry OthersOther IndustriesCore Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 80000 | |||
| All sensor, heat , temperature, motion, mega board, jumpors, | Equipment | 1 | 70000 | 70000 |
| weather data | Miscellaneous | 1 | 10000 | 10000 |
| Sensors | Equipment | 0 | 0 | 0 |
| weather data | Miscellaneous | 0 | 0 | 0 |