Artificial Intelligence (AI) can help reduce road accidents in the country in a big way as it can be used to optimize traffic flow, manage congestion, thus reducing the risk of accidents.
“Artificial Intelligence can help monitor driver behavior, can detect signs of fatigue, distraction, or impaired driving and provide warnings or take control of the vehicle to prevent accidents. It can also help in different ways, including better collection and analysis of crash data, enhancing road infrastructure, increasing the efficiency of post-crash response, and inspiring innovation in the regulatory frameworks. “ said Mr K K Kapila, President Emeritus, International Road Federation (IRF) , a global road safety body while delivering the keynote address at Accelerating the Safe Systems Approach to Road Safety (IRASTE) organised by Central Road Research Institute (CRRI)
“India being a developing country accounts for 11 per cent of global road accident deaths . The benefits of new technologies including AI when adopted by developing countries will help in closing the digital and road safety divide around the world .India is signatory to the UN declaration to reduce 50% road accidents by the year 2030 Union Ministry of road transport and highways has reduced the target to the year 2025 . International Road Federation (IRF) as part of its effort to reduce road accident deaths is focusing on 5E’s of road safety including Road Engineering, Vehicle Engineering , Education, Enforcement and Emergency care “ said Mr Kapila,
“ with the help of a unique Artificial Intelligence (AI) approach, using its predictive power to identify risks on the road, a project named ‘Intelligent Solutions for Road Safety through Technology and Engineering’ (iRASTE) is being implemented in Nagpur city and Hyderabad as a pilot project with an objective to significantly reduce road accidents.The project has been initiated in a collaboration between Intel India, IIIT Hyderabad, Central Road Research Institute (CRRI), Mahindra & Mahindra and Nagpur Municipal Corporation (NMC). Apart from identifying potential accident-causing scenarios while driving a vehicle and alerting drivers about the same with the help of the Advance Driver Assistance System (ADAS), the project will also identify ‘greyspots’. It will be identified by data analysis and mobility analysis by continuously monitoring dynamic risks on the entire road network” said Prof M Parida , Director, Central Road Research Institute (CRRI) while speaking on the occasion .
“The new initiative aims to strengthen global AI efforts across the public and private sectors to improve safety for all road users — whether traveling by automobile, motorcycle, bicycle, foot or other transportation modes.” He added .
