Urban centers today continue to grow and with that comes pollution, noise, traffic congestion and the accidents that come from more road users. The number of cars, trucks and vehicles continues to increase, making the job of a city planner both more important and more challenging.
The huge number of people commuting and travelling in general is generating a lot of traffic data. This data can be collected and used to drive a city planning department’s decision-making. The more data that is collected, the better information and knowledge there will be to make better decisions, improve safety and reduce both congestion and pollution.
However, not all data is the same and not all data-collection systems are the same. Methods for collecting data have evolved with new Iot technologies coming onto the market. LiDAR sensors combined with artificial intelligence, like the technology used by IndiGO, is a new option for city planning and operation departments. Many municipalities have chosen this technology to advance towards smarter, more efficient cities. Here are some reasons why.
While information about cars is important, city planners need more. IndiGO can provide accurate information about the different types of road users, along with the how, when and where of road usage. Methods such as inductive loops cannot provide accurate information about cyclists and pedestrians.
One of IndiGO’s most exciting features is the IndiGO IQ platform which provides safety metrics based on the traffic data collected. In addition to presence detection, crosswalk occupancy and speed analytics, IndiGO IQ offers specialized safety analytics that include the number of near misses, pedestrian crossing time estimation, time-to-collision analyses, detection of red-light runners and more.
While video can provide accurate data collection, it can only do so in optimal conditions. IndiGO sensors can capture data at night, providing 24-hour coverage of intersections. What’s more, the sensors function just as accurately during extreme weather conditions such as snow and rain. City planners can capture data on road usage without gaping holes in the data collection periods.
Once a city chooses its solution for collecting traffic data, it must make sure to maintain it. Obviously, the cost of maintenance should be considered when looking at adoption. The total cost of ownership will include the cost of the technology, installation and maintenance. IndiGO technology is not only easy to install but the LiDAR sensors require little to no ongoing maintenance.
Unlike other data collection methods, only one IndiGO sensor is needed to cover an entire intersection and capture traffic data in four directions. This represents a significant cost savings for cities compared to other traffic data collection methods. Multiple cameras and inductive loops would be required in order to obtain the same coverage. Plus, installation and maintenance for these other methods is more costly.
The IndiGO solution is a great tool that can be shared by more than one department within the city. Both planning and traffic control optimization can leverage the type of traffic metrics that IndiGO provides. This means that the cost of the solution can be shared by two departments making it that more cost-effective.
Citizens are becoming critical of privacy invasion through the use of modern technology. Facial recognition capabilities can be used in camera-based systems leading to privacy concerns. Cities can reassure their citizens that the traffic information captured by IndiGO sensors is anonymous. Unlike camera-based systems, LiDAR technology respects the privacy of citizens.
There are many benefits to collecting traffic data with a solution that leverages artificial intelligence (AI). Accuracy of the data collection is enhanced by the simple fact that the algorithms improve as the system continues to collect more data. IndiGO takes advantage of this machine learning and can provide advanced analytics that predict the best outcomes according to the data being collected.
Understanding how people use roads is increasingly becoming an integral part of what cities need to build a smart city. Accurate traffic data gives city planners the ability to make better decisions and improve the lives of citizens with shorter commutes, safer streets and lower carbon emissions. IndiGO is a traffic data platform that combines LiDAR technology and AI to provide real-time traffic data and analytics. To learn more about IndiGO, visit Bluecity.ai