Smart Cities Use Traffic Management Technology to Reduce Auto Accidents and Improve Congestion
Smart Cities Use Traffic Management Technology to Reduce Auto Accidents and Improve Congestion
When cities around the world look at ways to improve the quality of life for residents and visitors, traffic management often tops the list of major concerns. That’s because traffic congestion impacts our lives in many ways, from pollution to lost commute time and auto accidents to costly delays in 9-1-1 emergency response cause by snarled roadways. Law enforcement agencies also understand the human toll, in auto accidents and lives lost.
Traffic also impacts the walkability of a city and increases fuel consumption and harmful CO2 emissions. Around the world, cities are increasingly looking at how to use technology to reduce traffic congestion and in turn, help save lives, lower CO2 emissions and enhance quality life for residents and visitors. Recent advancements in artificial intelligence (AI) technology are making these ‘smart city solutions’ even simpler to implement and use.
Mobile and fixed smart traffic management systems are helping cities and law enforcement agencies improve traffic and parking management around the world. Smart traffic management systems ensure connected citywide data collection and analysis, while alerting when immediate action and precautions are needed. Using AI-enhanced video sensor technology to analyze traffic patterns and driving behaviors gives law enforcement and authorities the data needed to reduce traffic accidents, minimize traffic congestion and improve mobility city wide.
According to the US Department of Transportation, bottlenecks cause 40% of the traffic congestion impacting drivers and 25% of the car accidents in the U.S. Drivers exceeding the speed limit and traffic accidents are both major drivers of traffic congestion as well. With smart traffic enforcement solutions, cities can reduce the number of deadly auto accidents, including issuing fines for speeding to help curb illegal behavior. Cities can collect traffic-related data from vehicles, traffic lights and roadside sensors and aggregate that data to identify traffic hazards impacting roadways. Reducing these hazards helps improve traffic flow and lower accident rates, according to the International Journal of Distributed Sensor Networks.
As cities grow in density around the world, using technology to help improve the flow of people, goods and services will be key to ensuring we keep our communities both safe and places where residents and visitors want to live, work and play. The environmental impacts of traffic congestion are affecting city residents around the world as well, with immediate attention needed to reduce carbon emissions by improving traffic flow. Cities like Paris are redesigning traffic flow around iconic places to reduce carbon emissions. AI-based traffic management technology like smart intersection management, red light enforcement and analyzing driver behaviors are already improving driving conditions in cities worldwide.
AI-based mobile traffic management tools from Ekin provide:
Smart Traffic Enforcement
• Automated auto violation detection as a deterrent
• Real time problem solving through live traffic management feed
• Analysis of driver behaviors in traffic
• License Plate Recognition
• Wrong Way Detection
• Low Speed Detection
• Pedestrian Detection
• Stopped Vehicle Detection
• Tailgating Detection
• Speed Detection
• Red Light Enforcement
• Bus/Truck Lane Violation Detection
• Lane Violation Detection with Vehicle Type
• Smart Intersection Management
Learn more: Ekin Speed Enforcement System
