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AI for Good-Innovate for Impact

Use case – 34: Intelligent Solutions for Road Safety through

Technology and Engineering -iRASTE

Country: India

Organization: Information Technology, Electronics and Communication Department,
Government of Telangana

Contact person: Jayesh Ranjan, secy _itc@ telangana .gov .in

34�1� Use case summary table

Domain Transport safety – reducing road accidents

Problem to be • Reducing the high number of accidents on Indian roads.
addressed • Conventional methods to reduce road accidents are slow, reactive and
not scalable.

Key aspects of • Enhance vehicle safety, avoiding accidents, by equipping vehicles with
the solution ADAS devices with built-in AI (to produce alerts).
• Algorithm development to predict using AI hotspot grey spots (poten-
tial black spots)
• Surveys and traffic inspections to optimize road infrastructure so that
we can reduce Black spots (as defined by MoRTH) using historical data.
• Awareness and emergency response.

Technology ADAS, AI, grey spot, 4G, cloud.
keywords

Data availability Private data is available
Not decided on the timeline to anonymize (bus driver data) and not
decided to publish the data.

Metadata (type Time series data on ADAS alerts tagged with GPS location.
of data)

Model Training Location based prediction algorithms on time series based ADAS alerts.
and fine tuning Built-in models in ADAS devices are used commercially off the shelf from
Mobil-eye (Intel subsidiary).
Cloud based training is used after transporting data using 4G, the ADAS
devices are 4G enabled.
Testbeds or The initiative has already started with 200 buses of TSRTC (Telangana State
pilot deploy- Road Transport Corporation) equipped with advanced safety technologies
ments and sensors for dynamic risk mapping.
Last 9 months data is analyzed
ADAS buses have ~30% less accidents when compared to non-ADAS
buses in specific routes of the study.

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