Page 152 - AI for Good-Innovate for Impact Final Report 2024

AI for Good-Innovate for Impact

34�2� Use case description

34�2�1 Description

Use case status: The use case is part of a larger research project
In a significant push for road safety, the Telangana government aims to leverage artificial
intelligence (AI) with the implementation of iRASTE. This initiative tackles the alarming
number of road accidents witnessed in the state, which claimed over 21,000 lives in 2019
alone. While the 2020 lockdown led to a decrease in fatalities (19,000), sustained efforts are
crucial to achieving the national goal of halving road accidents by 2030. iRASTE presents a
holistic solution, moving beyond just addressing black spots - previously identified as high-
accident areas. This AI-powered approach promises to enhance vehicle safety, improve mobility
planning, and optimize road infrastructure management. The initiative involves installation of
Advanced Driver Assistance System(ADAS) and Collision Avoidance System(CAS) devices on
Telangana State Road Transport Corporation(TSRTC) buses on highways(National and State)
for an AI based hotspot prediction algorithm which takes input from ADAS devices and maps
it in real time to the relevant road infrastructure to predict future accident prone locations (Gray
Spots) and also reduce near misses by up to 50%. The system collects and analyzes data to
pinpoint grey-spots, enabling the implementation of cost-effective engineering improvements
to prevent accidents. Additionally, the categorization of drivers based on the Vienna Test
allows for the assessment of CAS device adoption and driver behavior, further contributing
to road safety. Moreover, the initiative includes efforts towards driver training, education, and
community awareness to promote a culture of safety on the roads.

UN Goals:
• SDG 11: Sustainable Cities and Communities

Justify UN Goals selection: iRASTE's comprehensive approach to road safety in Telangana
resonates with the objectives of SDG 11 by promoting sustainable urban development and
enhancing safety in human settlements. SDG 11 targets making cities and human settlements
safe, inclusive, resilient, and sustainable. iRASTE's focus on using AI to predict accident-prone
areas (grey spots) and improve road safety contributes to creating a safer transportation
network within Telangana. The initiative's use of data analysis to inform mobility planning can
optimize traffic flow and reduce congestion with emphasis on sustainable transport systems
that meet the needs of present and future generations. By identifying grey spots and enabling
cost-effective road improvements, iRASTE promotes efficient infrastructure management that
contributes to SDG 11's goal of building sustainable and resilient infrastructure.

Partner name: International Institute of Information Technology, Intel India, Applied AI Research
Centre for Mobility and Healthcare Partner

34�2�2 Future work

Create new variations/extensions to the same use case Elaborate proposal: iRASTE aims to
enhance road safety and reduce accidents by addressing critical areas known as black spots,
grey zones, and white zones. Its AI-based risk assessment and solution engineering support
the ‘Vision Zero’ goal, which seeks to eliminate accidents and improve societal well-being. The
initiative starts with NMC vehicles equipped with advanced safety technologies and sensors for

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