Page 31 - TT mag Sept 2025 Digital Edition

ITS

Project Controls serve as
the backbone to ensure the
AI are used in data integration to project’s success through
provide real traffic data. Bright effective management. These
traffic lights can use real-time
data to coordinate timing and are not instruments, but are
automatically cut delays by up strategies to ensure cities are
to a fifth. bright and habitable.”
Coordinating between
stakeholders can streamline — Bhavin Lakhani
governments, contractors, and
communities by giving regular
updates to reduce conflicts by 30%.
Including technology like 5G to
facilitate smooth communications
assists in the timely and cost-
effective delivery.

Bengaluru Adaptive Traffic traffic data collection by IoT performed weekly, identifying
Control System Case Study sensors and programmed signal problems early and preventing
patterns to change dynamically. 15 percent of potential cost
Motor parking is a nightmare D-CAC coordinated with the city overruns
every day in Bengaluru, India. As authorities and met daily to discuss
a tech hub, the city experiences a the progress. • Make new teams. Productivity
vehicle population of more than can increase by 20% using
eight million vehicles operating The result? Travel time was software such as MS Project
on its streets. To solve this, the reduced by 15-20% in the central • Communities are on the same
Bengaluru Adaptive Traffic Control regions, the load in congestion page and the number of
System (BATCS) was implemented areas decreased by 10%, and disputes reduces by 30 percent
fuel consumption declined by
in 2021. The project is an AI-driven 5%. There was also a 12 per • Adopt high technology. This
program that controls 165 cent improvement in emergency helps improve data transmission
intersections with real-time adaptive response time. This case and reach heights of
signals.
demonstrates how project controls responsiveness of 40%
It was developed in collaboration can deliver measurable results in • Risk plan. Excessive potential
with the Centre for Development complex, innovative traffic projects. delays such as regulatory hold-
of Advanced Computing (C-DAC), ups, should be anticipated and
and it is an IoT-based and AI Recommendations contingencies implemented
tool to optimize traffic speed. Its
success was focused on project • Use real-time data. Install IoT • Measure sustainability. Periodic
controls. The specific planning was sensors to track traffic flow, its safety inspections during
conducted in detail to decrease speed, and density. Processing construction reduce accidents
travel time by 20%. The project this information will alleviate by approximately 10 percent
was a highly tight budget of Rs 150 congestion by up to 25% • Finally, implement real-time
crore. • Secure the tangibility of goals. dashboards. Monitor carbon
Have quantitative targets, e.g., footprints to stay within the
The auditing was conducted
weekly to ensure transparency. a 10 per cent decrease in travel environmental objective
There was also risk management time or a five per cent reduction However, the delivery of these
in case of delays due to roadwork in emissions projects is fraught with problems
plans, which were implemented • Conduct routine audits. Budget —budget overruns, delays, and
in phases by zone. AI analysed and schedule reviews are coordination issues.

www.trafficinfratech.com • TrafficInfraTech • SEPTEMBER 2025 31