2. AGENDA
I N T R O D U C T I O N
O B J E C T I V E
A I M
I M P O R TA N C E
W O R K I N G
T E C H N O L O G Y S TA C K
F I N A L T I P S & TA K E A WAY S
3. INTRODUCTION
Crowdsourced road safety analysis uses real-time data from
public reports .
Traffic incidents cause congestion
Traditional monitoring is costly and slow
FCD helps but lacks real time accuracy
5. AIM
Improving Road Infrastructure and Traffic Management
Increased Safety
Create a smart traffic management system using AI and data
analytics.
Enhance drivers and pedestrian safety.
7. WHY IS IT IMPORTANT?
Helps identify accident-prone zones
traffic hazards.
Enhances road infrastructure planning
traffic management.
Reduces accidents by alerting drivers
Authorities in advance.
Mr. Gadkari said every year India sees
4,80,000 accidents, which lead to
1,88,000 deaths of people aged
between 18 and 45 years. India is
losing 3% of its GDP due to around five
lakh road accidents annually in the
country, Union Minister Nitin Gadkari
said on Tuesday (March 25, 2025).
9. Data Collection
Reports from users, sensors, and
historical records.
Data Processing
Filtering and validating reports.
Analysis
AI & ML detect patterns and risks.
Risk Identification
Heatmaps and insights pinpoint problem areas.
Notifications
Authorities and drivers receive real-time
alerts.
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