Case Studies

Improved Lighting

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Speed Monitoring

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Data Monitoring

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Case Study - Reduction of road incidents with improved lighting

LED lighting reduces incidents by 50%

Crashes reduced by 50% with LED lighting

Challenge:

Road traffic accidents are a global epidemic, resulting in millions of deaths and injuries annually. Road traffic incidents account for 1.25 million deaths across the world each year, making them one of the leading global causes of death (WHO). There is a range of evidence that suggests that road traffic collisions are more likely after dark than during daylight and more likely to lead to severe or fatal injury if they occur after dark. Therefore, a significant contributing factor to these accidents is poor road illumination, which is an even higher risk in adverse weather conditions.

Solution:

SmartEdge Group offers a revolutionary solution – the SmartEdge Pod. This patented technology combines solar powered dynamic LED illumination with IoT sensors, creating a data-driven network embedded in roadways.. With Variable Lighting Intensity: The Pods can adjust lighting levels based on real-time traffic density and weather conditions, optimizing energy consumption while maintaining safety.

Use Cases:

1. Rural Road Transformation: Imagine a winding rural road with no existing power infrastructure. This road has a history of accidents, particularly at night and during inclement weather. It is also currently unsafe for cyclists. Installing SmartEdge Pods along this stretch provides several benefits:

Enhanced Safety: The powerful, weather-resistant LED illumination significantly improves visibility, reducing the risk of accidents, especially in challenging conditions.

Sustainable Solution: Being solar-powered, the Pods eliminate the need for costly and disruptive grid extensions, making them a sustainable choice for rural areas.

Data-Driven Insights: The collected traffic data, such as traffic volumes, average speed and inclement weather conditions, helps identify high-risk zones, allowing for targeted safety interventions and road improvements, further mitigating accident risk

Colorado DOT have installed LED lights on stretches of highways and report crashes and injuries have reduced by 50%

2. Dynamic Lighting: Imagine if road lighting could adapt instantly to changing conditions. Here’s why dynamic lighting could be a game-changer:

Scenario: You’re monitoring traffic on a busy highway when something unusual happens—vehicle speeds drop sharply, then stop altogether. It’s likely a crash.

Immediately, an alert is sent to traffic management. Dynamic lighting springs into action:

At the crash site: Lights flash red, signaling danger.

Further up the road: Amber lights warn approaching drivers to slow down.

Highway signs: Update in real-time, guiding drivers to take the next exit and avoid congestion or potential pileups.

With dynamic lighting, roads become safer, traffic flow is managed efficiently, and lives are protected—all in a matter of moments.

Case Study - Reduction of road incidents with effective speed monitoring

Challenge:

1.4 billion road deaths annually

Monitoring speed is costly and does not give you information on driver behaviors on the road network as a whole due to its static nature.

Accidents often need to occur before speed traps / monitoring is put in place on stretches of road. In rural areas or on bad bends it can be difficult and sometimes impossible to have police monitoring and mobile traffic cameras.

Solution:

The continuous monitoring capabilities of SmartEdge Pods can go beyond simple speed enforcement. By analyzing speed patterns in conjunction with other data points, such as vehicle type and weather conditions, authorities can gain a deeper understanding of driver behavior and identify emerging safety concerns before accidents occur. This proactive approach allows for early intervention and targeted safety measures, potentially saving lives and reducing the societal and economic costs associated with road accidents.

Use Case:

Drivers slowdown in the areas where it is known that speed cameras are present, when outside of those zones they speed up. As more accident black spots are identified, more speed cameras are added. All the while, we are not gaining a holistic insight into driver behaviors. Imagine if you could tell exactly where traffic speeds up and collate this data with the types of vehicles, time of day, accident black spot areas and weather conditions.

With SmartEdge Pods in roadways, authorities can gain comprehensive, real-time insights into driver behavior and speed patterns, allowing them to:

Pinpoint High-Risk Zones: Using data gathered from the Pods' IoT sensors, authorities can identify specific road segments where speeding is prevalent, even in areas without traditional speed monitoring infrastructure
Correlate Speed with Accidents: This data can be combined with historical accident data to reveal correlations between speeding and accident occurrences, allowing for targeted safety interventions.
Understand Contributing Factors: By integrating data on vehicle types, time of day, and weather conditions, a more nuanced understanding of the factors contributing to speeding can be achieved. This allows for more effective and tailored solutions.
Implement Dynamic Interventions: The SmartEdge system’s dynamic LED illumination can be leveraged to provide visual cues to drivers, alerting them to slow down in high-risk zones or during adverse weather conditions.
Facilitate Data-Driven Enforcement: Real-time speed data can be used to inform targeted enforcement strategies, ensuring resources are deployed where they are most needed. This can involve increased police patrols, mobile speed cameras, or even variable speed limits based on real-time conditions
Promote Long-Term Solutions: The wealth of data gathered by SmartEdge Pods can inform road design improvements, infrastructure upgrades, and educational campaigns aimed at promoting responsible driving habits and reducing speeding incidents.

Case Study - Using Data to make more informed decisions

3% of countries GDP

Challenge:

Traditional road safety measures and planning authorities often rely on limited and localized data, leading to reactive responses and a lack of comprehensive understanding of road conditions, traffic behaviors, design issues and environmental factors. This approach often results in safety and planning interventions that are not optimally targeted or effective, failing to address the root causes of accidents and inefficiencies in road management.

Solution:

SmartEdge Group proposes a paradigm shift in road safety through its data-driven ecosystem, powered by its patented SmartEdge Pod technology1. These Pods, embedded in roadways, act as a network of intelligent sensors, continuously collecting real-time data on:

Traffic Patterns: Speed, volume, density, and flow
Environmental Factors: Air quality, temperature, and weather conditions
Incidents: Accidents, congestion, and other disruptions

This continuous stream of data is then processed and analyzed using AI and machine learning algorithms to generate actionable insights.

This data-driven approach transforms road safety by:

Enabling Proactive Interventions: By identifying high-risk areas and understanding contributing factors to accidents, authorities can implement targeted safety measures before accidents occur. This could involve dynamic speed limits, warning signs, road improvements, or educational campaigns tailored to specific road segments.

Optimizing Traffic Management: Real-time data enables dynamic traffic light control and adaptive traffic management systems that respond to changing conditions, reducing congestion and improving traffic flow.

Facilitating Informed Decision-Making: The comprehensive data collected by SmartEdge empowers data-driven decision-making for road infrastructure planning and investment, ensuring resources are allocated effectively and future projects address identified needs.

Use Cases:

1 – Infrastructure Planning: There is a plan to build a housing estate off a national road that connects two major towns. You want to know what impact this would have on the existing infrastructure. You look at the information that you have today, including traffic patterns, high congestion times, vehicle types, noise pollution e.g. haulage vs commuters, you have an understanding of the current air quality due to CO2 monitoring.

Based on this information you can identify if you need to

Add an extra lane to the national road

Whether the lane should be dedicated for trucks / buses etc.

What the impact would be of the additional vehicles from a CO2 point of view

How far the new estate should be from the road to minimize CO2 and noise impacts for the residents.

2 – Road Maintenace: Managing roads is costly for a number of reasons. One of these costs is road Maintenace and Safety teams. Today, with existing road studs and lighting solutions the only way to check if the lights are functioning is to physically check, this requires teams to visually check at night. With IoT enabled PODs, we will be able to monitor any failures remotely and teams can be dispatched for Maintenace. Another significant cost is road resurfacing. The life span of a road is very hard to estimate and can be impacted by traffic, weather, vehicle types etc. Cosiderable costs could be saved by having the information about the roads, what type and number of vehicles were travelling on them and resurfacing based on usage rather than schedule. This would also help maintain the quality of overall road network and not waste resources on low impact roads.

The SmartEdge data ecosystem demonstrates how a holistic, data-driven approach can revolutionize road safety, moving from reactive responses to proactive prevention. By leveraging real-time insights and empowering a network of stakeholders, SmartEdge paves the way for a future of safer, more efficient, and sustainable roadways