Many people in France hates traffic cameras because it is hard for them to cheat their spouse. 65 km is a limit suggested to carry on without any road incidents. But in any case, a teen can cross the speed limit and move at a speed of 70 km whereas a careful driver may run at 75kmph without any incidents. Human beings may ignore the careful drivers whereas computer which is programmed and issue tickets to speeders without any ambiguity. And the accusations are difficult to ignore because, in fact, they are rooted in difficult data and numbers.
Did Big Data Kill Privacy?
With the leap of data-driven society, it will be assumed that privacy is dead. We are leaving a digital bread crumb trail behind every time we connect to a new network or service. Information about our personal lives is analyzed, collected, segmented and circulated throughout the world by retailers, data brokers, companies and governments.
Our privacy is shared without realizing it, but most of us more or less consciously trade to be able to use GPS, connect with our friends on Facebook and Twitter, order goods online, install security cameras around our homes, and get insurance rates that better by installing devices that monitor our driving behaviour. It seems that those days are gone forever and today will require a large amount of effort to avoid a series of data aggregators that constantly disrupt your identity and your digital personality. In the pre-millennium someone can easily walk through the store without being identified and targeted by advertisements, can make anonymous charitable donations, write opinions or conduct surveys without revealing names, and make phone calls and do not have caller IDs that are shown to people on the other end.
The smart city is a term used to describe urban development which is more agile and sustainable for supporting life mostly in areas like traffic control, roads, security, health and many aspects of technology. Cities are smarter to take more useful responses through large data analytics to ensure there is enough space for cities to connect to standard networks.
Big Data for traffic management:
The traffic management is getting more smarter and efficient by the integration of big data with IOT. Traffic Jam is a big menace and is hated by everyone including planners, city dwellers, commuters. Information can be collected in real time using sensors, cameras, usable gadgets and smart devices. With a rapid jump in connected vehicles, agencies and startups use data analysis and cellular networks to help cities manage traffic more efficiently. The concept of big data and IoT means that the amount of traffic that must be allowed to be launched at a certain time can be set.
Traffic Congestion and parking issues:
About 50% of the world population is living in cities and there is a 2% growth every year. Population surge is important for the economic health of the city which effects the transport system. The cause of congestion is identified with city planner using data analytics. Parking slots will be preferred by drivers for which city planners use data analytics.
According to US census data which shows that an average American worker spends around 20 % more time for commuting when compared with the 1980s. This lead to a positive impact of cities for attracting more business however, scaling up the roads to meet the increasing traffic is not an easy task. Planners can then access if the commuter has unlimited access to practical driving alternatives. Analytics can also show the location of the largest first and last miles, along with gaps. This data helps in identifying alternative routes that can encourage drivers to use alternatives. For fixing long commutes big data and IOT are working together to figure out the start and end of the commute, length of the commute, who is doing them.
With the efficient usage of big data and sensors, traffic can be managed easily regardless of the increasing population. Traffic has a significant impact on living levels and efficiency in cities. As the development of smart cities, services and infrastructure will be increasingly integrated. Over time, problems such as traffic, waste management and energy conservation will benefit greatly from the concepts of the Internet of Things and Big Data. To make the urban living more efficient and seamless smart traffic management is striving for its best.
Researchers want to detect patterns in traffic situations such as intersections and roundabouts, allowing computers to actively assist in finding dangerous situations or changing driving behaviour. Finally, researchers want to improve data quality, enriched with other data sources. The project partner will work on real-time visualization of urban traffic flows, which enables the speed and immediate proximity of vegetation or other factors that hinder the field of view to be considered together. Big data can make our lives easier by uniting isolated local traffic patterns and integrating them into a coherent view, letting planners make the best decisions in the future.