Accident prediction model

Project Title

Accident prediction model

Project Area of Specialization Software EngineeringProject Summary

Title:

To develop an accident prediction model for different function class of road of Pakistan.

As the population of the world is increasing day by day and the use of vehicle is also increasing with the rates and due to which alot of accidents occur daily,so we are making a model for different function class of road of Pakistan with the help of STATA and Nlogic softwares by using the previous accident data of at least five years.With the help of this model we can find the accident rates just by putting the previous accident data of this road 

Project Objectives

• To increase road safety
• To minimize accident frequency
• To find average accident rate of different function class of roads

Project Implementation Method

1) Traffic accident data and road geometrical data will be collected from the concerned authorities.

2) The collected data will be analyzed by using STATA and Nlogic softwares.

3) Relationship will be obtained between accident frequency, traffic characteristics and road geometrical features.

4) accident rate can be fined.

Benefits of the Project

1. To increase road safety
2. To minimize accident frequency
3. To find average accident rate of different function class of roads 
4. To minimize pedestal injury and deaths

Technical Details of Final Deliverable

• STATA and Nlogic softwares are two engineering field software by using these we can find the accident rates, accident frequency.
• By getting accident frequency relationship with different features we can take take steps to minimize the accident frequency, increase road safety and can protect the human from injuries and deaths.

Final Deliverable of the Project Software SystemCore Industry TransportationOther Industries Medical Core Technology OthersOther 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
Research papers	Miscellaneous	5	1000	5000
Softwares	Equipment	2	30000	60000
Paid teacher	Equipment	1	10000	10000
Data collection	Miscellaneous	5	1000	5000