Innovation and Smart Systems are Changing the Game When It Comes to Traffic Flow and Efficiency

In a previous post, we examined Adaptive Signal Control Technologies (ASCT), first introduced by McCain Inc. This article will dig a little deeper into this technology – its various components and the functions that support it. We will also answer the question of “how” it all works and delve into the mechanics of the systems.

Specifically, we will explore the evolution and growth of smart technologies in traffic management; working to minimize congestion, decrease costs, improve safety and reduce fuel usage. This includes the use of new intelligent traffic controls, such as GRIDSMART cameras and data cloud. So, read on to learn more about these innovative tools.

How Does ASCT Work?

The process behind ASCT includes a few different steps. In the first step, traffic sensors collect data on traffic flows and patterns. After the data is collected, it is evaluated in order to identify areas in which signal timing improvements can be made. This process culminates with the deployment of timing improvements and updates. The cycle repeats frequently – every few minutes – in order to ensure a smooth flow of traffic. This process has been shown to improve travel times by upwards of 10 percent.

Identifying Improvement Opportunities at Intersections

Advanced Traveler Information Systems (ATIS) are a critical support system to traffic management, as they collect information and provide a comprehensive view of traffic patterns that can be drawn upon when adjusting/optimizing intersection signals. Video cameras, for example, provide direct field footage that can be evaluated to determine the contribution and effectiveness of adaptive signals on traffic performance in real-time.

From a “big-picture” perspective, once cameras are placed at intersections and traffic patterns are thoroughly captured, data can be transferred to coordinating software systems, stored, or run through various performance modules and algorithms. By evaluating the given data, one can gain valuable insights into the cause of congestion, better implement or adjust their ASCTS, and more easily adopt other smart solutions and innovative technologies into their advanced traffic management systems.

However, when utilizing the data to make control decisions and optimize traffic flow, other variables must be addressed, as weather conditions, peak hours/volumes, saturation flow rates, and the proportion of vehicles stopping will all vary across different intersections and environments.

Ultimately, identifying the best opportunities to improve traffic at intersections requires the combined effort of various inputs/resources, data collection/evaluation, and strategy.

The Smart Vault Solution

When considering both data collection via camera footage and the implementation of AI traffic management systems, an important question arises. Where can video processing at the edge take place in a way that is secure and unobtrusive? Typically, cameras and video processing computers are mounted on poles, making the placement of cameras unaesthetic, bulky, and vulnerable to damage. However, SYNDÉO’s Smart Vaults provide an innovative solution. By housing edge computing for video processing under ADA curb ramps, Smart Vaults allow for much smaller cameras to be deployed on poles. Smart Vaults also enable the secure and unobtrusive deployment of small cells and beacons; further eliminating the susceptibility and visual clutter of these devices when placed directly on poles. Smart Vaults also provide a more stable temperature environment to GS2 processors, an invaluable safety-net for costly processors that require protection and stability.

Smart Vaults also provide a home for edge processing applications that can help eliminate PII concerns by dumping or redacting images real-time as they are collected. Smart Vaults are a foundational component of an adaptive strategy, allowing for the deployment of various other smart city technologies in the future in a safe, unobtrusive and environmentally controlled enclosure.

Keeping Cars Moving: Other Intelligent Traffic Systems Applications

While cameras, Smart Vaults and cloud hosting are key components of smart and efficient traffic management, other technology-enabled applications are working to improve flow, throughput, and ultimately, keep cars moving.

One such application is sensing technology. Through sensing technology, loops are embedded in the actual road surface, which can detect a vehicle waiting to enter the intersection from a side road. Once the vehicle is detected, the system triggers a green light – even across a major artery.

Automated vehicles (also known as driverless cars, self-driving cars or robotic cars) offer another example of a traffic system that will make strides toward improving traffic flow and throughput in the future. It seems inevitable that the smart systems managing traffic signals will eventually communicate and interface with automated vehicle technology. While this interaction will likely take various forms, a basic example is a warning transmitted from the traffic signal to a driverless car before the light turns red.

Conclusion

From cameras to cars, sensors to Smart Vaults, today’s traffic management systems are truly intelligent and utilizing intuitive processes and actionable data to improve travel times while saving drivers money and reducing emissions.

SYNDÉO is at the forefront of these advancements – leading the way in providing secure and environmentally controlled subsurface space to house advanced ASCT and supporting applications. To learn more about Smart Vaults and Smart Cities, visit the SYNDÉO website. We’re innovating every day for the benefit of citizens and cities – contact us to learn more and experience the SYNDÉO difference.