Page 35 - RMAI Bulletin July 2024

RMAI BULLETIN JULY 2024

GIS, on the other hand, provides a spatial dimension presence in those areas. Predictive analytics can also
to traffic management by mapping the entire highway help generate proactive maintenance schedules for
network and integrating various data layers such as road infrastructure, ensuring that potential hazards like
traffic flow, accident hotspots and road infrastructure. potholes or worn-out road markings are addressed
before they can lead to accidents," he says.
"Spatial analysis provides a comprehensive
understanding of where road signs are needed the Smart Signs
most and how to maximise their impact. GIS can also Smart traffic management systems on NHs can create
facilitate the simulation of traffic scenarios, helping an interconnected mechanism where road signs, traffic
authorities anticipate the effect of new road signs on signals, and real-time data analytics work together to
traffic dynamics," he says.
manage traffic more effectively.

AI and Road Safety "One of the primary ways in which smart traffic signs
Highlighting AI's role in predictive analytics for road reduce congestion is by optimising traffic flow.
safety, Misra says that by analysing historical data on Traditional static signs offer fixed information that may
traffic patterns, weather conditions, and accident not always be relevant to the current traffic situation.
reports, AI can identify high-risk areas and the various In contrast, smart signs can readjust their messages in
times at which accidents are more likely to occur. realtime, directing drivers to alternative routes when
there is congestion, roadwork, or an accident ahead.
"This information enables authorities to implement This helps distribute traffic more evenly across the
targeted safety measures, such as installing additional network, preventing bottlenecks and reducing overall
signage, enhancing road lighting, or increasing patrol travel time," Misra says. (Source: Business Line)

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