Introduction: AI in traffic management
The use of AI in traffic management is poised to reshape urban transportation, relieving the bottlenecks that snarl traffic in cities. As a result, we will reduce not only traffic congestion and travel times, but also emissions (by reducing the time we spend in traffic).
Also Read: Artificial Intelligence and Urban Design
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In addition, such congestion leads to higher fuel consumption, increased air pollution, unnecessarily wasted time & energy, chronic stress & other physical health problems. Likewise, higher traffic violation rates result in an increased number of road deaths. As a matter of fact, violations such as Red Light Violation, Over-speeding, not wearing a seatbelt or helmet while riding, are some of the most dangerous driving behaviors and are responsible for a large number of traffic fatalities.
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Constructing roads, bridges, underpasses, and creating mass public transportation systems are not enough to reduce traffic congestion and management, which is becoming increasingly difficult as time goes by. Hence, the introduction of a modern & intelligent system for resolving these issues is essential.
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An ITMS system can work in conjunction with the existing CCTV and traffic control system to provide a holistic solution to the current traffic menace. Not only that, but various AI-based traffic analytics can be deployed over existing traffic enforcement and surveillance systems as well, with minor tweaks and adjustments, resulting in a highly optimized solution at a lower cost to the public purse.
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A modern Intelligent & Integrated Traffic Management System would be a great idea for not only improving traffic flow on urban roads & reducing commuters’ mental agony, but also saving lives from road accidents.
