For Prelims: Black Spot (Road Safety), e-DAR (Electronic Detailed Accident Report), Ministry of Road Transport and Highways (MoRTH), Full form of e-DAR, Nodal Ministry, Target corridors, Target black spots, Pilot success (fatality reduction)
For Mains: Data-driven governance, Road safety, AI in public administration, Preventive infrastructure
Source:
Hindustan
5 facts for one-day exams
SSC, railway, police and teaching exams ask direct questions like these.
- e-DAR stands for Electronic Detailed Accident Report.
- The initiative targets 1,500 high-risk corridors and 30,000 black spots.
- Pilot projects showed a 30-60% reduction in road fatalities.
- Pilot locations were Mumbai-Pune Expressway and Delhi-Jaipur NH-48.
- The nodal ministry is the Ministry of Road Transport and Highways.
Why in the news?
The central government has launched a mission-mode initiative using Artificial Intelligence (AI), GPS mapping, and the e-DAR (Electronic Detailed Accident Report) portal to secure 1,500 high-risk corridors and over 30,000 black spots across India. Pilot projects on the Mumbai-Pune Expressway and Delhi-Jaipur NH-48 showed a 30-60% reduction in road fatalities, proving the model's effectiveness.
Summary
- The Ministry of Road Transport and Highways is implementing a data-driven model using AI and the e-DAR portal for real-time accident data collection and analysis.
- The initiative targets 1,500 high-risk corridors and 30,000 black spots nationwide on a mission mode.
- Pilot projects on the Mumbai-Pune Expressway and Delhi-Jaipur NH-48 recorded a 30-60% reduction in road deaths.
Highlights
AI-Driven Road Safety
The government is using Artificial Intelligence and GPS mapping to identify and fix accident-prone black spots in real time.
e-DAR Portal for Real-Time Data
The Electronic Detailed Accident Report (e-DAR) portal replaces paper-based reports, enabling immediate digital recording of accident location, cause, and vehicle type.
Proven Pilot Success
Pilot projects on Mumbai-Pune Expressway and Delhi-Jaipur NH-48 reduced road fatalities by 30-60%, prompting nationwide rollout.
Background
India accounts for the highest number of road accident deaths globally. Traditional accident reporting relied on paper-based police reports and witness statements, taking weeks or months to compile. This delay hampered corrective action like road redesign or signage improvement. The e-DAR portal and AI-based analysis aim to digitize and speed up this entire process.
Key Analysis and Impact
The initiative shifts road safety from reactive to preventive and data-driven. Real-time GPS location, road slope, time, and vehicle type data allow authorities to pinpoint engineering defects and high-risk stretches. The 30-60% fatality reduction in pilots on the Mumbai-Pune Expressway and Delhi-Jaipur NH-48 demonstrates the model's potential. Scaling to 1,500 corridors and 30,000 black spots could significantly reduce India's annual road deaths.
Way Forward
Successful nationwide implementation requires robust data integration across state police departments and highway authorities. Regular AI model updates and infrastructure redesign based on e-DAR insights will be critical. The model could be extended to state highways and rural roads to further reduce fatalities.
Background GK
Textbook concepts you need to understand this news
- Black Spot (Road Safety)
- A location on a road where a higher than average number of road accidents have occurred, often due to poor road design, signage, or lighting.
- e-DAR (Electronic Detailed Accident Report)
- A digital portal for real-time recording of road accident data including GPS location, vehicle details, and causes, replacing paper-based accident reports.
- Ministry of Road Transport and Highways (MoRTH)
- The central ministry responsible for the development and maintenance of national highways and road transport policy in India.
Facts to remember
Tap a card to see the answer. Try to recall it first.
How exams will ask this
- Data: 1,500 high-risk corridors and 30,000+ black spots targeted
- Data: 30-60% reduction in road fatalities in pilot projects
- Nodal Body: Ministry of Road Transport and Highways
- Portal: e-DAR (Electronic Detailed Accident Report) portal
Don't make this mistake!
Students may confuse e-DAR with other digital portals like e-SHRAM or e-NAM. Remember: e-DAR is specifically for road accident reporting. Also, the pilot locations (Mumbai-Pune Expressway and Delhi-Jaipur NH-48) are often asked separately.
Write these in mains answers
- Data-driven governance, Road safety, AI in public administration, Preventive infrastructure
Stuck? Get it in one tap
The government is using Artificial Intelligence (AI) and a digital portal called e-DAR to reduce road accidents. When an accident happens, police officers enter details like location and cause directly into the portal using GPS. This data helps identify dangerous stretches of road, which can then be redesigned to prevent future accidents. Pilot projects on two highways reduced deaths by 30-60%.
- e-DAR stands for Electronic Detailed Accident Report.
- The initiative targets 1,500 high-risk corridors and 30,000 black spots.
- Pilot projects showed a 30-60% reduction in road fatalities.
- Pilot locations were Mumbai-Pune Expressway and Delhi-Jaipur NH-48.
- The nodal ministry is the Ministry of Road Transport and Highways.
- Governance: e-Governance and Digital India
- Infrastructure: Road transport and safety
Related concepts: Black Spot (Road Safety), e-DAR (Electronic Detailed Accident Report), Ministry of Road Transport and Highways (MoRTH)
Practice questions
Pick an answer, then read the explanation.
- Q1Easy
Which ministry is primarily responsible for implementing the e-DAR portal and AI-based road safety initiative?
Explanation: The Ministry of Road Transport and Highways (MoRTH) is the nodal ministry for national highways and road safety. The e-DAR portal and AI-based black spot identification fall under its purview. The Ministry of Home Affairs handles internal security, while MeitY and Science and Technology deal with IT and research respectively.
- Q2Hard
Consider the following statements regarding the e-DAR portal:
- 1.e-DAR stands for Electronic Detailed Accident Report.
- 2.The portal uses Artificial Intelligence to identify black spots in real time.
- 3.Pilot projects on the Mumbai-Pune Expressway and Delhi-Jaipur NH-48 showed a 10-20% reduction in road fatalities.
Which of the statements given above is/are correct?
Explanation: Statement 1 is correct: e-DAR expands to Electronic Detailed Accident Report. Statement 2 is correct: the portal uses AI and GPS data for real-time black spot identification. Statement 3 is incorrect: the pilot projects showed a 30-60% reduction in road fatalities, not 10-20%. Hence option C is correct.
- Q3Medium
How many high-risk corridors are targeted under the government's AI and e-DAR based road safety initiative?
Explanation: The initiative targets 1,500 high-risk corridors and over 30,000 black spots across India.
- Q4Medium
What is the primary objective of using AI and the e-DAR portal for road safety?
Explanation: The core objective is to use real-time GPS and AI data to identify accident causes and redesign dangerous stretches, thereby preventing future accidents. While digitization is a component, the primary goal is fatality reduction.
Frequently asked questions
1. What is e-DAR in road safety?
e-DAR stands for Electronic Detailed Accident Report, a digital portal that enables real-time recording of road accident data including GPS location, vehicle type, and cause.
2. How many high-risk corridors and black spots are targeted under the new initiative?
The initiative targets 1,500 high-risk corridors and over 30,000 black spots across India on mission mode.
3. What was the reduction in road fatalities during pilot projects?
Pilot projects on the Mumbai-Pune Expressway and Delhi-Jaipur NH-48 showed a 30-60% reduction in road fatalities.
4. Which ministry is implementing this AI and e-DAR based road safety program?
The Ministry of Road Transport and Highways is implementing the program.
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- Original7 November 2026 · Read story
