AI Transportation

AI in Traffic Management

AI in Traffic Management

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

Source: YouTube

 There has been an observation over the years that the traffic in most of the cities across the world has been getting worse and worse over time. Traffic is a major global problem without a doubt. In the US for example – drivers spend up to 58% more time stuck in traffic compared to drivers in all other cities in the world, primarily because traffic congestion is the main obstacle.

Also Read: What are smart cities?

Source: YouTube

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.

Source: YouTube

As a result of the use of Artificial Intelligence (AI) within Intelligent Traffic Management (ITMS), many of these issues related to traffic law enforcement can be addressed and solved using AI. Through this process, commuters can enjoy a smoother, more convenient, and safer commute by improving road traffic discipline. A system of this sort can not only help law enforcement agencies to penalize the offenders but can also act as a deterrent as well.

An Intelligent Traffic Management System (ITMS) combines artificial intelligence with cameras installed at traffic intersections in order to detect and identify vehicles disobeying traffic rules and generate real-time alerts at the Central Command Center. Fines can be automatically imposed on offenders according to law and can be sent electronically to violators.

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The fines are accompanied by supporting evidence in the form of pictures and videos. It can also monitor the flow and pace of traffic movement to provide real-time traffic management.

Additionally, an adaptive traffic-control system can adjust traffic signal cycles in real time in response to changing traffic conditions based on information received from these cameras. The ATCS system will almost half the waiting time at traffic signals once it’s fully operational. In addition, the Traffic Command & Control Center helps traffic authorities understand ground situations and trends across the city like never before, enabling them to plan and take preemptive actions.

Combining new communication technologies with artificial intelligence (AI) could also help us deal with our clogged roads, so they can cope with the growing number of cars, by crunching vast amounts of data in real-time.

Also Read: Role of artificial intelligence in transportation.

ITMS also contributes to smart city goals such as environmental sustainability besides improving traffic conditions. Several methods are available to improve traffic behavior & avoid congestion in a city such as Automated Number Plate Reading, Red Light Violation Detection, Speed Violation Detection, Triple Riding & No Helmet Detection, Free Left Turn Obstruction, Wrong-Way Driving, No Seat Belt & Mobile phone usage while driving, Hot listed vehicle detection, Traffic Flow & Congestion detection.

Source: YouTube

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.

Also Read: China is using AI in classrooms

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.

 

 

 

 

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