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Intelligent transport systems, by leveraging the power of technologies like AI, IoT, and computer vision, can potentially bring greater safety, comfort, and speed into every data transport.
Fremont, CA: There was a time when getting from one place to another was just about familiarity, guesswork, and intuition. However, with the advent of digitalization, we are witnessing the rise of smarter transport. The power of data and the internet has made getting from one point to another less stressful and more efficient.
In this regard, intelligent transport systems are becoming the new trend. A symbiosis of cutting-edge technologies, including AI, IoT, computer vision, these systems are enabling us to reach our destination as quickly as possible. With intelligent transport systems introducing a far more effective approach to traffic management, road security, and so on, many implementers—including government transport agencies—are already witnessing a reduction in roadblocks, traffic accidents, and even the carbon footprint.
This trend is further proliferating with the inception of smart cities—of which intelligent transport systems are becoming an integral facet. As citizens demand fast mobility to travel within the city, whether it is to school, college, or office, intelligent transport systems are enabling them to predict traffic conditions and plan their transit accordingly. As intelligent transport systems leverage IoT, it is possible to get preliminary information regarding traffic conditions, seat availability on public transport, weather forecasts, and so on. Even beyond reducing travel time, these capabilities enhance safety and comfort.
However, underneath the intelligent transport systems, quite a few moving pieces are required for its smooth functioning. The traffic management center (TMC), for instance, is a technical framework deployed by the transportation authority, where all relevant data is collated and analyzed before being leveraged for the control management of traffic in real-time. A way to make TMCs even more efficient would be to automate the process of data collection and processing while also incorporating analytics to assess precise location information and generate more accurate insights.
That being said, when collecting the data, it is crucial to bring precision into the strategic planning process. Usually, the data is collected via several hardware devices, including automatic vehicle identifiers, GPS-based automatic vehicle locators, sensors, computer vision cameras, and so on. These devices can gather information regarding traffic count, surveillance, travel speed, travel time, location, vehicle weight, and much more. This data can then be transmitted to servers located in the TMCs.
This data usually goes through various processing steps, including error rectification, data cleaning, data synthesis, and adaptive logical analysis, where any incongruencies are detected and rectified with specialized software. The cleaned data is then analyzed to predict potential traffic scenarios and come up with appropriate solutions—often in the form of appropriate traffic announcements. The traffic-related announcements are communicated to the travelers through the internet, SMS, or onboard communication units within the vehicles.
When combined, all these moving pieces result in one robust intelligent traffic system, which can seamlessly deal with the proliferating urbanization and meet the rising demands of faster and smarter transit. Needless to say, intelligent traffic systems are a win-win for both the administrators of the city and its citizens, as they can deliver easy maintenance and surveillance, along with safety, comfort, and speed.