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An innovative system - ‘Spatio-Temporal Traffic Data Reporting for Smart City Services,’ developed by associate professor in the Transportation Engineering Section of the Civil Engineering department of IIT (BHU) Varanasi Ankit Gupta and a PhD student at Korea Advanced Institute of Science and Technology, South Korea Sumit Mishra was granted a patent recently.

Gupta, who also holds the prestigious Ministry of Roads Transport and Highways (MoRTH) Chair Professor and is active in research and consulting domain of road safety, traffic systems, pavement materials design and construction, said that the Smart City Traffic System is a network of interconnected modules designed to gather, analyse, and disseminate traffic data in real-time and provide accurate, real-time traffic information. What makes this system truly remarkable is its ability to generate insights based on either traffic sensor and crowdsourced data

Crowdsourced information is collected from everyday commuters through third-party services like Google Maps, he said adding that this data provides real-time insights into traffic conditions, such as vehicle speed and travel time. He said that the system operates by collecting data from a multitude of sources including crowdsourced information from everyday commuters and data from private sensors installed across the city. This information is processed, and limited analytics in the form of colour tracks on maps and estimated time to reach destinations are provided by third parties like Google Maps. To secure user privacy, third parties provide limited analytics instead of raw GPS data. The system uses sophisticated algorithms to calculate comparative metrics that can serve use cases like congestion levels. These services can include traffic diversion and optimal traffic light timing deployment. For more sophisticated parameters like queue length and waiting time, which are useful for optimal traffic light timing deployment, raw data processing is necessary. Similarly, smart city services like traffic emission estimation require information obtained from processing raw data. A traffic simulation tool like SUMO is used to create a digital twin, simulating real-world traffic scenarios with impressive accuracy.

He said that the system uses sophisticated algorithms to calculate various traffic-related parameters, including long-term averages, real-time averages, qualitative congestion measures, and real-time congestion measures. These metrics help in mapping congestion levels and can be used for different smart city services. The system can simulate real-time traffic situations, providing a dynamic view of traffic flow and congestion.


Autor(en)/Author(s): binay singh

Quelle/Source: The Times of India, 12.06.2024

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