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November 27, 2020

The worlds populations are increasingly migrating from rural to urban areas, propelling cities and urban centers into people’s principal habitats. This trend brings greater density and increased pressure on cities already congested transportation services. To remain livable, attractive, and to meet their sustainability targets, cities must rethink their transportation operating models and leverage the next generation of technology.

Emerging technologies are already profoundly transforming cities functions, including transport, energy, health, education, infrastructure and public safety, yet most cities still fail to grasp the full value of these new technologies. The use of data and analytics can help cities worldwide develop solutions that address the most pressing urban mobility challenges of our time: congestion, health and pollution.

Lower congestion with deeper insights

Modern-day traffic congestion is a daily headache for citizens around the world, especially for those in urban areas. According to a 2019 INRIX Global Traffic Scorecard, citizens in Bogota lose on average 191 hours in public transit due to congestion per year, citizens in Mexico City lose 158 and citizens in London and Boston, MA lose 149 hours per year. These are just a few of the striking numbers that exemplify the need for a new approach to urban mobility.

The wide range of mobility services and transportation alternatives makes it particularly hard for city transportation officials to get a comprehensive view of city mobility patterns and flows. Fortunately, the increasing number of IoT devices available today provide a unique opportunity for cities to understand transit demands in real time to optimize public transportation services.

By collecting and analyzing open city data and real time inputs from sensors, bus telematics systems, devices and wireless access points, cities can gain a real time view of city traffic and its impact on citizens’ experiences over time. In addition, leveraging traffic data provides insights to predict traffic flow, helping city planners create sustainable transportation that prevents road congestion.

Mitigate the environmental impact

An improved public transit service that offers easy and reliable access to mass transportation has real environmental benefits in the form of fewer greenhouse-gas emissions and less air pollution. As efficient cities improve the quality of their public services, citizens can be diverted from transportation modes that produce high carbon emissions to more eco-friendly friendly options with smaller carbon footprints.

Improve life and health of citizens

Big data has an important role to play in improving the lives of city dwellers. The insights from citizens movements and demand patterns can provide insights that help transportation operators anticipate and better respond to citizens’ transportation needs, resulting in an improved experience. Decreasing the use of highly polluting means of transportation helps reduce a cities carbon footprint and improve noise and air pollution which translates into a healthier environment its citizens.

With the integration of big data and IoT, cities are becoming smarter, generating data that provides useful information and revolutionizing the citizen experience. Traffic management platforms that leverage real-time data from IoT (such as mobile phones or traffic lights) and deliver intelligence to enable better traffic management to create more efficient transportation systems are vital.

To tackle cities key transportation challenges, TCS offers IUX for Intelligent Transportation, a data analytics platform with out-of-the box transportation use cases for faster value realization. Click here to learn how IUX real-time analysis of your operations and ridership can keep your city moving.

Matthieu Rouaix is Product Marketing Manager at TCS Digital Software & Solutions Group in charge of developing and executing marketing strategy for emerging technologies. Matthieu has significant experience with digital transformation, big data analytics, AI/ML cloud , IoT and SaaS across varied sectors.

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