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Smartening Up Traffic Management

Globalisation, population growth and urbanisation are overwhelming transportation systems around the world, many of which were built to accommodate a fraction of the current load. How can a growing city keep up with ever-increasing transportation management demands? We believe the truly intelligent transportation management system should be:

Instrumented: Smarter transportation management systems can track traffic from the source to destination, monitor conditions in real time, and instantly identify defects and inefficiencies across assets and infrastructure using information obtained from installed and mobile technologies, including sensors, cameras, mobile phones, social media and connected cars.

Interconnected: They enable the integration of all this information to give transportation professionals and users easy access to continuously updated information, travel choices, and shipment options, with instant notification of any irregularities in the transport process.

Intelligent: Smarter transportation management systems apply advanced analytics to real-time data to automatically respond to changes in the transportation network, and monitor the health of their infrastructure. This capability can help cities take measures such as dynamically adjusting conditions, aligning congestion toll pricing with demand, initiating security measures, and making appropriate decisions based on environmental impact.

To gain greater insight into mobility patterns, cities can integrate smart sensors that are built into the physical infrastructure, using vision-based systems, vehicles as mobile sensors, and computer-aided decision-making tools that are based on specific real-world scenarios. It provides transportation managers a far clearer view of current situations. For instance, a large city in Europe uses analytics solution that enables near-real-time collection, aggregation and analysis of huge volumes of people movement data. This ‘city in motion’ solution calibrates data against surveys and other sources, and then converts it into demand models that the city can use to optimise transit systems. Using aggregated mobile phone location and transit system data, the solution creates a heat map that depicts the density of people during different time periods such as morning or evening commutes. It can also show individual patterns of movement, such as from where and when commuters travel.

India can take a lesson from such systems to adapt into its own environment. Our objective of building 100 smart cities needs solutions of such calibre and there is one platform where all this technology will be put on show. Participate in the TrafficInfraTech and ParkingInfraTech Expos, 2017 in Hyderabad later this year and explore modern day solutions driven by technology that would change the profile of Indian traffic scenario.

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