New Delhi, February 16: The integration of artificial intelligence into India’s road and transport ecosystem could play a transformative role in preventing accidents and curbing vehicular pollution, a senior government official said on Monday at the India AI Impact Summit in the national capital.
Speaking during a panel discussion titled AI for Road Safety: Data Driven Solutions for Enhancing Road Safety in India, Pankaj Aggarwal, an officer in the Ministry of Road Transport and Highways, outlined how AI-led systems can address long-standing challenges in road safety enforcement and environmental monitoring.
AI to Strengthen Road Safety and Accident Prevention
Aggarwal emphasized that artificial intelligence can significantly reduce road accidents and fatalities by enabling accurate, real-time data capture and analysis.He noted that speeding remains the most common traffic violation contributing to road accidents. According to him, current data recorded manually by police officers does not always reflect the complete set of violations that lead to an accident. AI-based systems can capture precise and comprehensive data without human intervention, improving transparency and accuracy in enforcement.
One of the key solutions discussed was the implementation of a vehicle-to-vehicle communication system, which would allow drivers to receive alerts and correct their actions before a potential collision occurs. Such proactive, AI-powered communication technologies can help drivers respond in advance and prevent accidents.
Aggarwal also pointed out that enforcing traffic rules, particularly the issuance of challans, remains a challenge. AI-enabled automation can streamline enforcement mechanisms and reduce inconsistencies in penalty issuance.
Data-Driven Insights to Address Fatalities
Highlighting the importance of reliable accident data, Aggarwal stated that AI can help maintain accurate records related to road accidents and fatalities. He cited Bihar as an example, where recorded fatality rates are higher than the national average, underlining the need for improved data systems to support policy interventions.By leveraging AI-driven analytics, authorities can identify patterns, high-risk zones, and behavioral trends that contribute to road accidents, thereby enabling more targeted preventive measures.
AI Tools to Tackle Vehicular Pollution
Beyond road safety, the official said that AI is also being developed as a tool to address vehicular pollution, which remains a major concern in urban areas.He acknowledged that pollution data can often be misleading and stressed the need for AI-powered systems to ensure more accurate monitoring and assessment. The government is actively working on deploying such AI-based solutions to strengthen pollution control efforts.
Driving Education Through AI in Schools
Aggarwal also proposed integrating driving education into school curricula using AI-enabled tools to promote awareness among young people. He stated that IIT Madras is working to make driving education a mandatory part of the curriculum, leveraging technology to build early awareness around road safety.The discussion at the summit highlighted the growing focus on artificial intelligence as a foundational tool in transforming India’s road transport framework, with a clear emphasis on safety, enforcement efficiency, and environmental sustainability.
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