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ON THE COVER

parameters. The corridor was
segmented into 500-meter
sections using GIS tools for
comprehensive analysis.
A time-based weightage index
(TWI) method evaluated the
impact of inattention events on
road safety, assigning weights
based on severity and duration.
Statistical analysis, including
ADAS alerts data and the road network of study corridor (with illustrations) correlation analysis and modelling,

Impact of ADAS
on Road Safety

In Telangana, ADAS-equipped
public transit buses on NH-65
generated over 400,000 alerts
within the first quarter of 2023.
This data, including speed-related
information, was gathered for
analysis. Researchers utilized
this data, along with GPS and Statistics of driver inattention events traffic direction-wise (in %)
Collision Avoidance System (CAS)
data, to identify potential safety
concerns along the corridor.
By analyzing road and traffic
parameters, they pinpointed
areas prone to safety issues,
referred to as “grey spots.”
The study involved analyzing
repeated bus operations along
the corridor and using locational Time-segment Distribution of Driver Inattentiveness (a) Kodad town to Malkapur village: K-M (RHS)
analysis techniques to identify
these spots.
Impact of DMS
To aid this analysis, researchers on Road Safety identified factors influencing driver
manually created a detailed road inattention, such as road geometry
network of the study corridor. CSIR-CRRI investigated driver and land use. The findings of the
This road network was integrated inattention behavior among study offer insights for targeted
into a GIS database using QGIS public transit fleet drivers along interventions to mitigate driver
and was segmented into 500- NH-65 in Telangana, India, using inattention, aiding policymakers
meter grids, aligning with factors DMS powered by AI. Ten buses and transportation authorities
contributing to road crashes as with 36 drivers were equipped in enhancing road safety on
per Ministry of Road Transport with DMS devices along a highways.
and Highways guidelines. 150-kilometer test corridor. ADAS and DMS pave the way
These insights inform road- Data on driver inattention for further advancements in
owning authorities for proactive events (drowsiness, sleepiness, autonomous driving systems,
interventions and validate existing distraction) were collected ultimately aiming to achieve
black spot identification methods. alongside road and land use accident free roads.

www.trafficinfratech.com / June 2024 / TRAFFICINFRATECH 17