Today, cities are faced with a huge demand for more and better transportation services. At the same time, urban mobility is facing a new wave of technological disruptions. Autonomous vehicles, digital personal assistants, and other connected devices are creating opportunities for new solutions but also potential pitfalls. Cities will evolve over time with technology and data as main drivers. Since technology is so important to our daily lives, it’s no surprise that it also affects how we move around in cities. Urban mobility solutions are focused on using intelligent big data analytics, artificial intelligence (AI), and Machine Learning to change the way people move around cities. No one solution works for all parts of urban mobility. As a result, many cities will be challenged to integrate different initiatives and creating seamless user experiences across multiple services. Intelligent video analytics is one way to address problems with urban mobility and find new ways to improve the livability in urban areas. It helps operators, governments, and other stakeholders make better decisions by analyzing video streams from cameras installed in city infrastructure. However, with so much noise, it can be difficult to separate the wheat from the chaff. In this article, we’ll look at how intelligent video analytics is playing an important role in meeting some of the biggest urban mobility challenges worldwide.
Congestion is the bane of city dwellers.
Cities are growing faster than ever. With more people using public transport, traffic jams cause huge problems for drivers and commuters. This impacts businesses and people’s ability to earn a living. Intelligent video analytics can help reduce congestion and improve traffic flow. It can also help improve the user experience based on the expectations of drivers and commuters.
More and better public transit
The modern city must provide the best possible experience. This applies to all kinds of transportation, including public transit. Some cities are better at this than others. In order to modernize their public transit systems, some cities are starting to incorporate AI technology to monitor and optimize public transit modes, capacity, and timetables.
Smarter and safer roads
Road safety is a major issue in many cities around the globe. There are many factors that can impact road safety; weather conditions, poor road conditions, and unplanned events are some examples. To improve road safety, cities can integrate intelligent video analytics into their infrastructure. This allows them to make judgments based on real-time data, historical data, trends, and long-term patterns. Identifying infrastructure bottlenecks and correcting inefficiencies through data-driven spatial planning, for example, helps to reduce the likelihood of accidents or congestion and allows us to inform road users, about upcoming traffic situations, in time.
Managing urban growth also means finding ways to reduce CO2 emissions.
Many cities are experiencing rapid growth. At the same time, they must also find ways to reduce their carbon footprint.
It is no secret that urban mobility is one of the main contributors to CO2 emissions. The good news is that businesses are investing in new technologies, such as AI, to address these issues. Using intelligent video analytics, cities can better manage urban traffic densification. It also enables them to better monitor their infrastructure and develop strategies to reduce CO2 emissions.
AI-powered Mobility Assistance
The future of urban mobility will undoubtedly be a hybrid of automated and assisted driving. It will also feature seamless integration between vehicles and the surrounding infrastructure. Cities can use intelligent video analytics to provide real-time assistance to drivers and passengers. They can also enable seamless communication between vehicles and the surrounding urban infrastructure.
As urban mobility continues to evolve, so will the issues associated with it. Intelligent video analytics can help solve some of these issues and enable cities to become smarter. Imagine that you could get everything you need during the day on foot or by bike in no more than 10 minutes. Cities can better manage crowds, traffic flow and distribution, cut CO2 emissions, and deliver a seamless experience for passengers and vehicles with more versatile statistical data and in-depth insights.