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TRAFFICINFRATECH EXPO 2024




                                                  cameras give, the software then
                                                  can understand and alert one of
                                                  incidents  like  illegal  U-turn,  red
                                                  light jumping etc, but in addition
                                                  to that, it is not just about
                                                  transport, it is about health
                                                  and safety”.  Norden is working
                                                  towards supporting cities not just
                                                  by reacting to traffic incidents,
                                                  but actively anticipating them.
                         Ashray Bhalwal                                                     Ranjana Kamiya
                            ValetEZ               Emerging Trends in Urban                     Logix ITS
                parking availability: “We are using   Mobility                     recommendations...the authorities
                AI to predict parking availability   “I see big data science, AI,   can be made aware when to take
                and occupancy trends. We have     as a major game changer, it      what action at the right time.” This
                tested our trained AI…and it was   is going to play a major role   anticipatory approach is essential
                around 95% accurate.” By reducing   going forward. You are going to   for Indian cities with complex,
                the time drivers spend searching   reduce manpower and have exact   ever-changing traffic patterns.
                for  parking,  AI  technology     requirements fulfilled using these   Videonetics, harnesses historical
                alleviates  congestion,  cuts  down   systems,” added Saurabh Khanna.   data to identify future congestion
                on emissions from idling vehicles,                                 points, enabling proactive
                and improves overall traffic flow in   India’s  urban  mobility    solutions. Avinash Trivedi noted,
                busy urban centers.”              transformation has spurred new   “With true AI, if I have my past
                                                  trends in predictive analytics and
                  Mike Lewis highlighted the      proactive infrastructure planning.   data, I can just turn the data
                significant  advancements in      By leveraging machine learning   around  and  give  a  prediction.”
                AI-driven data analytics  to help   and real-time data, transportation   By leveraging historical data,
                authorities  make  informed       managers can foresee potential   city planners can make informed
                traffic-related decisions. “With   traffic disruptions and respond   decisions about infrastructure
                the information that those        preemptively.  Ranjana Kamiya,   projects, such as where to add
                                                  Manager,     Commercial     &    additional lanes, install new
                                                  Operations at Logix ITS, discussed   signals, or build alternative routes,
                                                  how predictive analytics supports   to alleviate future congestion.
                                                  traffic management. “With the      The  “Make  in  India”  initiative
                                                  help of AI and machine learning   is also fostering a wave of
                                                  algorithms, we can predict patterns   locally produced solutions in
                                                  and provide automated real-time   urban mobility. SkyToll, for



























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