Category: PILLAR Talk

Let’s face it, traffic accidents cause bad days for all involved. Unfortunately, for transportation asset managers getting the damage repaired is often just the beginning of the bad day saga. Collecting third-party damage claims from a driver’s insurance company is critical to getting funds you need. If not dealt with quickly and thoroughly, DOTs can lose millions in claims that they’re owed. But navigating the complicated collection process is time consuming and frustrating. 

Get the insurance money you’re owed. 

Don’t miss out on insurance recovery claims on damaged assets. PILLAR can help with a team of multi-disciplined professionals who take the complexities out of the collection process. We will work to identify the damage, investigate the circumstances and help you build a claim package that’s ready to submit. 

Our work speaks for itself. PILLAR’s has helped one DOT collect over $4.5 million in third-party damage claims over the past five years.

PILLAR Helps You Save Valuable Time and Money 

With PILLAR, you can identify and investigate damages faster and more efficiently. You’ll see significantly higher collection rates, which frees up budget for transportation management initiatives. We put in the work to identify and investigate damages and put together a claim package to save you time and money.

We can help clients identify asset damage in a number of ways, including our connected infrastructure sensors which provide alerts when there is an impact or other issue, our team in the field sites a problem, or we are alerted by the DOT to send our team out. 

Then, PILLAR’s professionals begin gathering information in the field — everything from the time, date, location and photographs of the damage to the names and contact information of the law enforcement officers who responded after the damage was done. With decades of experience across the realm of transportation, our team has the experience to know that the more information we can collect from the scene, the better for the DOT. 

PILLAR generates an estimate of the damages, collects copies of the law enforcement reports through your state’s Department of Motor Vehicle system, and then compiles everything into a claims package for a DOT’s district accounting specialist for processing and collection.

No More Guesswork on Third-Party Damage Claims

Stop your bad days before they start. With PILLAR you will have the peace of mind that your damage claims are being managed proactively by a seasoned team of experts using the latest technology. 

Rely on our expertise to remove all the guesswork from the collection process.

Contact Us Today

Don’t let your damage collection process get bogged down in paperwork. Book a discovery meeting with PILLAR to learn more about how we can help you identify damage, investigate the circumstances, and build a case, making it easier to collect what you’re owed.

The 2022 Bipartisan Infrastructure Law addresses long-needed funding to state and local governments for thousands of “shovel-ready” transportation infrastructure improvement projects in all 50 states, D.C., and Puerto Rico. Over a period of five years, the law provides an unprecedented investment of $350 billion in highway programs for state and local governments to tackle long-overdue improvements to infrastructure.

The Bipartisan Infrastructure Law is the largest investment in roads and bridges since President Eisenhower’s investment in the interstate highway system. While the law offers an exceptional amount of funding, competition is fierce. Keep reading for tips on how to present your shovel-ready transportation projects and successfully apply for funding for your state or locality.

What are Shovel Ready Projects?

Today, “shovel-ready” describes a transportation project that has fully completed planning, has necessary permits, and approvals in hand, and is ready to put people to work right away once funding is in place. If you’re interested in applying for funding through the 2022 Infrastructure Bill, it’s important to pick the right project to stand out in the application process while maintaining realistic goals for your current workflow.

How to Prepare for a Shovel-Ready Project

Construction never happens on a wing and a prayer. As any infrastructure professional knows, construction projects require careful planning, preparation, testing, and permitting long before gaining clearance to break ground. Doing the prep work prior to funding helps you stay prepared to seize opportunities when they arise. 

1. Review the Project Priority List in Your Region: Identify priority projects for your region that align with the stated goals of the Bipartisan Infrastructure Deal. According to the White House, the goals of the deal are to, “rebuild America’s roads, bridges and rails, expand access to clean drinking water, ensure every American has access to high-speed internet, tackle the climate crisis, advance environmental justice, and invest in communities that have too often been left behind.” 
2. Evaluate what steps are needed to qualify for shovel-ready status: Once you’ve identified a list of potential projects, it’s important to be realistic about which are closest to being shovel-ready.  Do any of the projects already have planning and regulatory compliance completed? If none of your projects are quite at the shovel-ready stage, try to find a project that would allow you to complete all the steps to getting shovel-ready in time to apply for funding. 
3. Identify which type of funding is right for your project. The funding included in the Bipartisan Infrastructure Law is broken out into different types of programs and grants. Review their list of grant programs carefully to find which grant your project best qualifies for. This will increase your chances for successful funding. 
4. Prepare your best proposal. You’ve done the difficult work of planning. Now it’s time to write your proposal. Gather all your data, paperwork, and permits, and start building a case for your project. 

PILLAR Can Help Get Your Projects Shovel-Ready

These steps seem straightforward but can be close to impossible for DOTs and organizations that are already stretched thin when it comes to time, resources, and manpower. That’s where PILLAR can help. We’re fully equipped to help you get your project to shovel-ready status, from start to finish.  We even have full-time proposal writers who have a track record of success.  They can devote time and expertise to help you get the funding you need. 

We are a trusted advisory partner that DOTs, municipalities, and P3 stakeholders rely on for fiscally responsible operations and maintenance. PILLAR can act as an extension of your agency, providing full-time expertise without the full-time price tag. From boots on the ground to technical writing, PILLAR’s combination of expertise and integrity has got you covered. Contact us to find out how we can get your projects shovel-ready today.

If you use mowing contractors, you may be familiar with the incremental “bump” in acres/prices that happens as they spend more time, labor, and resources to fulfill their mowing duties. That’s because often contractors accidentally begin mowing more and more areas. This scope creep is unintentional; sometimes, it’s just a normal byproduct of the job and it happens more frequently when there’s a lack of clear acreage guidelines. 

To help contractors stay on track it’s important to regularly assess your mowing acreage. It may seem like a small detail but being clear about how much acreage you’re responsible to mow can save you millions.  

How PILLAR Calculates & Classifies Mowable Area 

PILLAR specializes in providing rapid and accurate data collection and assessment so you always have the most up-to-date information about your transportation assets.  

When you work with us, you’ll benefit from Mobile LiDAR (Light Detection and Ranging), a powerful mapping method. Mobile LiDAR uses laser scanning to accurately identify roadway assets and related infrastructure at highway speeds. Typically, LiDAR captures data for hundreds of miles of right-of-way a day, making it the ideal solution for use in asset management, geospatial (GIS), and surveying and mapping. Plus, our mobile LiDAR service includes a fully automatic feature extraction system that saves up to 10-fold the time and cost of traditional “point and click” semi-automatic extraction methods.  

With PILLAR, it’s easy to regularly assess your mowing acreage so you can keep your organization on track. 

PILLAR Goes the Extra Mile So You Don’t Have To 

We don’t stop at data collection and extraction. Our services also include an assessment of the terrain you’re responsible to maintain so you can know with certainty:  

1. the types of equipment you need.  

2. the time and frequency required to maintain your acreage.  

The information we gather helps us configure the most efficient mowing patterns for full mows or partial mows. We also leverage our knowledge of stormwater regulations to determine if you can earn environmental stipends for mowing less frequently. 

After all the data is collected, we will work with your geospatial system of choice to integrate and normalize your mowing data. The resulting enhanced database keeps your mowing contractors informed with complete and interconnected information. 

Contact PILLAR 

The PILLAR team has more than 100 years of combined experience working with and for municipalities and departments of transportation. Our clients trust our cutting-edge methods and results. Learn how we can help you avoid mowing scope creep to save time and money. Contact us today. 

As an asset manager, you know how hard it can be to stay in front of potential emergencies. Asset management is a complex, ever-changing landscape and part of the job involves responding to unforeseen events.

However, many asset managers report that 80% of their job is dealing with crisis and only 20% is devoted to planning. With the right support, it’s possible to flip that ratio so you spend less time and money reacting to crisis. Taking a proactive approach to your asset management makes a huge impact on team morale, stress levels, and your bottom line.

How Reactive Ditch Cleaning Hurts Business Outcomes

Most people overlook the important role ditches play in keeping roads safe and usable. Until, that is, a storm rolls in and the ditch is clogged or blocked. Roads (and even homes) can become rapidly flooded, making them impassible and creating an emergency.

Emergencies like this can happen at any time of day or night regardless of whether you have enough staff, equipment, and time available. Gathering your resources and reacting in a timely fashion can be exhausting and expensive. When you’re stuck reacting to emergencies, costs can easily skyrocket. Expenses can include:

• Labor costs in the form of wages and benefits for the crew members who work on the emergency mobilization.
• Equipment costs such as renting or deploying any necessary equipment like excavators, dump trucks, or bulldozers.
• Transportation costs include transporting the crew and equipment to the job site.
• Overtime pay can be a factor if the emergency mobilization requires work outside of normal business hours.
• Permits and fees might be required to carry out the emergency mobilization.
• Material costs can include any materials needed for the job such as sand, gravel, or concrete.

How Proactive Ditch Cleaning Improves Business Outcomes

Contrast this with a thorough assessment and management plan created specifically for the ditches in your service area. Instead of mobilizing crew and equipment after a clogged ditch becomes a problem, generate a list of clogged or at risk ditches during regular inspection. Then, schedule crews to clean them in order of severity during regular hours during good weather.

This proactive, planned approach will save you time and money. You’ll find that you backlog less tasks, avoid unplanned expenses related to crisis management, and create a culture of stability for your team.

Utilize Pillar’s CAPE Method for Maximum Results

Pillar specializes in data collection, assessment, planning and execution through our proven CAPE method. With Pillar on your side, you can have powerful data to create a systematic planning and management program, be intentional about your asset management, and take control.

Stay in front of potential emergencies with solid planning and execution. Book a discovery meeting with PILLAR to learn more about how we can help you develop a systematic solution for your transportation infrastructure.

If it’s too good to be true, it probably is.

Beware of any proposal that doesn’t spell out target accuracy requirement details and is coupled with a lower price. You may be left with inaccurate data that will cost you much more down the road, opening you up to costly change orders. A responsive and responsible bidder will always clearly spell out how they plan to meet target accuracy requirements so you can make an informed decision.

Many bidders will try to confuse proposal reviewers and prey on their lack of technical training. They take advantage of reviewers who aren’t familiar with the difference between RTK/PPK correction or absolute accuracy and relative accuracy. By using a lot of buzzwords and citing equipment accuracy tolerances, they hope to convince you that a surveyor, validation/check, and control points aren’t necessary to prove accuracy. You may read the proposal and believe that utilizing a scanning vehicle equipped with an IMU, GNSS, wheel encoders and a DMI to prevent drift and self-correct will be within accuracy requirements.

Sometimes you want the data accurate down to the inch and sometimes positioning within a few feet is acceptable enough for crews to locate an object in the field. Today’s mobile LiDAR equipment is powerful and allows us to do amazing things when it comes to location and accuracy. However, any specified accuracy still needs to be checked or verified.

How to Think About Point Cloud Accuracy

Imagine you walk into a dark warehouse (Point A) and need to get to a door on the other side (Point B). If the lights were on, this would be a simple task. You can see where you’re going and walk toward the door. With the lights out, the task becomes more complicated. You’ll likely unintentionally drift off course between Point A and Point B. When you get to the other side, you’d be unable to report how straight your path was let alone if you are even at the door, until you turn on the lights and adjust your position to the door.

Now imagine you’re in the same dark warehouse, but now you have familiar objects like a table, chair, or desk you can tap as you pass by. You’re much likelier to find the door by checking your position as you go. This method allows you to correct your course along the way and ensures that you actually are where you think you are.

Now imagine you’re in the dark warehouse with a dusty floor and your familiar objects, but also notches in the floor every so often marking the path. You get to the other end, turn on the lights and can see the path you took. The notches on the floor allow you to measure the distance between your footprints and your target path to check your accuracy and validate how close you were to following the path. Without those notches in the floor, you can’t validate your accuracy because you have nothing to measure against to verify or validate specified tolerances.

This is why it is necessary to tie mobile LiDAR scans to surveyed control points when a target accuracy is specified. Control points make it possible to correct positioning and adjust the recorded course to match the real-world course, just as tapping a known object as you walk through the darkened warehouse allows you to adjust your trajectory to the door. Furthermore, validation points allow you to verify that your data falls within the specified accuracy threshold. Without validation, asserting that the data is accurate would be impossible.

Applying surveyed control and validation points to your mobile LiDAR data is like walking across the darkened warehouse, with your path lit by tiny lights that guide your way. You may not be able to see your entire environment, but you have enough reliable information to arrive at your goal.

Poor GNSS Signal and Accuracy Challenges

Absolute Accuracy vs. Relative Accuracy are must-know terms for anyone evaluating an RFP.

• Absolute accuracy refers to whether or not objects in the point cloud fall near their actual location in the real world. This is sometimes referred to as “accuracy.”
• Relative accuracy refers to whether or not objects within the same point cloud lie in true positions relative to one another and if the object occupies the same location in multiple passes. This is sometimes referred to as “precision.”

Ideally, data should be both accurate and precise. To achieve this, professionals often use RTK (real-time kinematic) and PPK (post-processed kinematic) technologies to correct raw GPS data and achieve centimeter-level positional accuracy. However, this technology is contingent on a strong signal at the site from one or more GNSS constellations, as this raw satellite data forms the basis of your data corrections.

Professionals commonly utilize data from base station networks like CORS (Continuously Operating Reference Stations), operated by NOAA, or from subscription base station networks to perform RTK/PPK corrections. These networks are comprised of base stations situated atop points of known position and/or elevation. These base stations monitor GNSS signals from various constellations to:

1. determine how inaccurate the GNSS calculated position is and
2. determine an appropriate correction.

This correction can then be applied to your mobile LiDAR trajectory within a reasonable distance of the base station. Thus, an RTK/PPK corrected position will be more accurate than the raw GNSS calculated position. However, these corrections only apply to data received from the GNSS satellite constellations. They offer no benefit in situations where the GNSS signal is significantly blocked, as is the case in heavy canopy, urban canyons, or any area with a significant portion of the sky obscured.

It should be noted that, with respect to mobile LiDAR scans, these corrections alone are not sufficient to claim any particular accuracy. Additional steps are therefore necessary in order to validate and report the accuracy of the resulting point cloud.

Trajectory, Control, and Validation of Your Point Cloud Data

The three warehouse examples emphasize the three phases of point cloud data location and accuracy that are easy to confuse.

1. PPK/RTK corrections from base station data (i.e. CORS). This phase helps correct errors in the position based on the GNSS signal and are provided by base stations operated from known locations. These stations don’t actually have to be within the survey area, just within a reasonable distance (usually a couple dozen kilometers, though this is dependent on terrain and other field conditions). This correlates to the first warehouse example where you need to correct errors in your overall path as a whole (trajectory).
2. Control Points. These are surveyed points within the data collection area that are visible in the data and can thus be used to anchor the data to a known datum. In other words, they are used to adjust the data to its correct real-world position. Control points will help correct errors arising from the local environment or the mobile LiDAR scanning unit itself. This correlates to the second warehouse example where you are touching objects as you move through the warehouse. It’s useful in cases where you need to correct errors from the ground within the bigger picture and tie it to the ground.
3. Check Points. These are surveyed points within the data collection area that are visible in the data, but they are not used to adjust the data, only to measure the offset of the location of the data to its real-world position. Check points are for reporting accuracy and verifying the data. This correlates to the third warehouse example where you have notches in the floor (i.e., a known real-world position) and are comparing them against the footprints on the dusty floor tracking your location (point cloud position). This validates that all remaining errors are within acceptable limits.

How does this all work and interrelate? #1 is frequently used on its own if there is no accuracy requirement. If there is an accuracy requirement, the only way to prove that the requirement has been met is with #3. However, there’s a good chance that in areas of poor GNSS reception (heavy tree canopy or blocking mountain faces), #1 will not be sufficient to meet accuracy requirements, so #2 would need to be used in those areas as well. It wouldn’t ever make sense to use #2 without #3, because #2 takes a lot of effort and you would certainly want to prove that #2 has worked. An important note, no single point should ever be used as both #2 and #3.

Work with a Responsive and Responsible Bidder

Some bidders may assert that you don’t need to set control points or validation points and can save lots of money. The problem is that by doing this, they aren’t responding to your accuracy requirements and therefore are not a responsive and responsible bidder. No accuracy can be demonstrated without a comparison to known, real-world positions (validation points).

A solid proposal will tell you the number of validation points it will take to verify that your data meets accuracy and how and where these points—and any necessary control points—will be established.

PILLAR prides itself on our commitment to quality and accuracy. We utilize cutting-edge technology, including mobile LiDAR, alongside over a century’s worth of combined expertise to be a partner you can rely on. Contact PILLAR today to learn more about how we can assist you with your next project.