E-HEALTH MONITORING ARCHITECTURE For Intelligent Transportation System FOR SMOOTH TRAFFIC FLOW CONTROL
According to a study done by the Harvard Health Watch, an average American spends 101 minutes per day driving. That means that in a lifetime, an average an ordinary man spends a whopping 37,935 hours driving a car (assuming that s/he starts driving at 17 and drives until 78.7 years old) As w
2025-06-28 16:32:16 - Adil Khan
E-HEALTH MONITORING ARCHITECTURE For Intelligent Transportation System FOR SMOOTH TRAFFIC FLOW CONTROL
Project Area of Specialization Internet of ThingsProject SummaryAccording to a study done by the Harvard Health Watch, an average American spends 101 minutes per day driving. That means that in a lifetime, an average an ordinary man spends a whopping 37,935 hours driving a car (assuming that s/he starts driving at 17 and drives until 78.7 years old)
As we know patients also drives on the roads so the study is conducted to propose the architecture that will first monitor the health of drivers/vehicle and will communicate the calculated status to central control. The traditional traffic system has no proper mechanism for avoiding the accidents, congestion proactively. The main components of accidents, congestions and rules violations on the road is human being or the health of human being. The In-Vehicle Network (IVN) and Vehicular Ad-hoc Network (VANET) technology will be used to avoid traffic flow control problems. The drivers will use the wearables instruments for health monitoring, sensors for status sharing and VANET to communicate over network for avoiding problem in traffic flow control.
The proposed system/architecture will avoid accidents, congestion and delay in daily traffic flow on the roads, it will increase efficiency, decrease accidents, safe the human being from death and vehicles from damage
The main devices that are concentrated to develop the architecture are as follows; Gateway (GW), Authentication Unit (AU), On Board Unit (OBU), and Personal Digital Assistant (PDA).
Wearable devices are advance technology that for understanding the patient’s data and behavior and taking care. It is a kind of fitness tracker or smart electronic devices to calculate patient’s adherence.
Its goals are:
- To monitor the health of the drivers and provide in vehicles quick treatment/relief using smart wearables and sensors.
- To get the efficient traffic flow by avoiding accidents and road congestion.
- Save the life, time and bandwidth to consumed over cloud to call emergency.
| Objectives:
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Objectives:
- Car’s sensors and wearables information to predict the driver health and mood to avoid the incident.
- The driver’s health/mood information with the help of wearables, body sensors, OBUs, VANET and deployed In-vehicle Network to entertain the drivers proactively.
- IVN communication and decision making on site first aid.
- Communicating the related environment i-e; hospitals and relatives of accident effected person.
- Informing the rescuing team and hospital about the situation.
- Reducing the time delay during detecting the accident, collecting information, informing hospital and rescuing team.
Propose an architecture, method for traffic flow control
Benefits of the Project•The design of a new model for rescuing people in roadside accidents on time and, hence, and get smooth traffic flow control.
•To decide the best optimized traffic flow on the roads.
•To avoid traffic jams on the road that may cause delay in reaching destinations
To inform relative of patients.
•To minimize the delay in rescuing of patients and take them to hospital
Technical Details of Final DeliverableWe'll provide our deliverable as an architecture/Infrastructure.
Final Deliverable of the Project HW/SW integrated systemType of Industry IT , Health Technologies OthersSustainable Development Goals Life on LandRequired Resources| Elapsed time in (days or weeks or month or quarter) since start of the project | Milestone | Deliverable |
|---|---|---|
| Month 1 | Literature | Soft |
| Month 2 | System Design | Soft |
| Month 3 | System Studies | Soft |
| Month 4 | Development Phase | Soft |
| Month 5 | Development Phase | Soft |
| Month 6 | Simulations | Soft |
| Month 7 | Analysis | Soft |
| Month 8 | Testing | Hard |
| Month 9 | Testing on Hardware | soft/Hard |