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The Four E's of Crash Analytics
Author: Melissa Savage, SAS Institute, Inc.
Copyright: 9-1-1 Magazine, Feature Content
The leading cause of death for Americans between 5 and 34 isn’t what most would expect. It’s not disease or acute illness. It’s traffic crashes. The good news is that the number of highway deaths has steadily decreased the last few years, yet crashes still cause more than 30,000 fatalities and send two million people to the emergency room each year.
Not only are the deaths and injuries resulting from these crashes devastating to those involved, the societal and economic costs can be expensive. AAA estimates that crashes cost society $299.5 billion annually and believes that an investment in data collection and analytics is imperative to ensure that resources are spent in a way that yields the greatest possible results. A study conducted by the University of Michigan Transportation Research Institute shows that in Michigan alone the total societal costs associated with motor vehicle crashes reached $9.1 billion in 2009 - outpacing societal costs for all other types of crime combined.
In an effort to combat these high costs, deaths and injuries, state departments of transportation (DOT) work closely with law enforcement agencies, state traffic safety offices and the National Highway Traffic Safety Administration (NHTSA) to plan and implement policies that can help reduce the number of motor vehicle crashes. One approach is through the Four E’s of traffic safety—Enforcement, Engineering, Education and Emergency Medical Services. I will explain each in detail below.
Depiction of forecasted crash occurrences in cloudy conditions. Courtesy of SAS
Over the past few years, the Four E’s approach has contributed to a steady decline in both fatality and injury rates. While this decline in traffic crashes and the resulting deaths and injuries is good news, NHTSA, law enforcement, state DOTs and state highway safety offices are not resting on their laurels—they continue to work toward keeping the roads as safe as possible.
The ultimate goal these groups are striving toward is ambitious, but they believe achievable. Toward Zero Deaths (TZD) is a data-driven highway safety strategy that focuses on changing the driving culture, with the goal of no deaths on the nation’s highways. Statistically, that means to get the fatality rate per vehicle miles traveled (VMT) to zero. Today, the rate is 1.14 fatalities per 1 million VMT. The TZD initiative relies on data from crashes and police stops, in concert with the four E’s, to determine priority areas and make changes to policies and programs.
The Four E’s play an important part in road safety. Each component is essential and when taken together as a unified approach, has had great success helping to achieve the lowest crash rate in decades. By addressing the four components in a holistic way, NHTSA, state DOTs, law enforcement and state traffic safety offices hope that they can prevent crashes from happening in the first place. Those groups are exploring how technology can improve and transform the way traffic safety advocates, traffic safety engineers and other key stakeholders use the Four E’s.
Data from the Four E’s can include:
- Vehicle speed
- Traffic volume at the time of the crash,
- Law enforcement crash investigation information
- Emergency medical response information
- Road sensor and design data
- Effectiveness of public education campaigns
This can be analyzed holistically to help decision makers create strategies for comprehensive traffic safety improvement plans. Unfortunately, the data often resides in different agencies, in various databases, formats, and types of hardware. Integrating the data and creating a holistic view of traffic safety would allow for a coordinated approach to preventing crashes. Furthermore, analytics gives road designers, law enforcement officers, emergency medical responders and those designing public education campaigns the ability to identify trends and develop highways safety plans and interventions that will have the best return on investment in terms of reducing the crash rate.
In 2009, there were 5.5 million police-reported traffic crashes. Law enforcement officers work diligently to prevent crashes by enforcing traffic safety laws pertaining to, among other things, seat belt use, child passenger protection, speeding, driving while impaired and distracted driving. Studies have shown that increased enforcement and educational campaigns can yield big results in terms of changing driver behavior. One example, “Click it Or Ticket”, has helped achieve a nationwide seatbelt use of 85 percent—saving an estimated 72,000 lives between 2005 and 2009 alone.
National Highway Traffic Safety Administration adheres to five essential components of traffic safety law enforcement, which break down roughly like this. There must be traffic laws and guidelines for enforcing them, law enforcement officers must respond to violations and issue necessary citations, which must be adjudicated and appropriate sanctions handed out.
Law enforcement officers are usually the first to arrive at a crash scene of a crash, and are responsible for capturing important data, including:
- Weather and pavement conditions at time of crash
- When the crash happened
- Violations committed
- Fatality and injury information
- Complete information about all vehicles involved in the crash
- Driver information, including driver’s license information, license status and conviction history
- Other crash scene information, including whether it happened at an intersection and what the traffic volume was like at the time of the crash.
- Information about any commercial vehicles involved, the driver and their load
The data is typically housed in the state crash database and used to report state-specific crash information to the federal government, help make resource allocation decisions and prioritize traffic safety programs. By applying analytics to that data, state DOTs, public safety agencies and traffic safety offices can make proactive resource and funding decisions about education and enforcement campaigns that will yield the greatest return on investment.
Additionally, the data can help traffic safety agencies make decisions on how to best use each of the four E’s. For example, if an analysis of the data shows an increase in alcohol-related crashes at a particular intersection, police can optimize resources by stepping up DUI enforcement in that area. Another challenge facing law enforcement is identifying repeat offenders and unlicensed drivers. Applying analytics to traffic citations, driver history and motor vehicle title and registration data would provide law enforcement officers with the ability to identify high risk drivers and target their enforcement efforts.
Safety, reliability and accessibility are all key components in road design. Traffic engineers work to make the driving environment as safe as possible for motorists. They use lighting, improved signage, adjusted curves, better left-hand turn lanes and traffic calming techniques like roundabouts and speed bumps. They tap into crash data to identify high-risk areas like intersections or steep grades and make decisions on how to implement engineering changes to reduce the crash rate.
Vehicle safety engineers are also hard at work making crash avoidance improvements inside the car. New technology alerts drivers to potential unsafe conditions ahead. For instance, if the car is approaching a vehicle or stationary obstacle at a speed which will make it difficult to stop in time, it will alert the driver. If the driver fails to take corrective action by either applying the brakes or making a steering change, the car will take over and make the necessary adjustments to speed, direction or both. This technology has great promise since 85 percent of all crashes involve road-departures, rear-end collisions and/or intersections.
Road and vehicle safety engineers analyze data from crash investigations and traffic stops to identify high priority safety issues and make decisions about how to address those problems. For road engineers, looking at crash data through an analytics lens could point out an intersection with a high rate of left hand turn crashes. Based on this analysis, engineers would be able to make adjustments like shifting the left turn lane to shorten the turn distance.
Inside the car, vehicle safety engineers prioritize their efforts based on what the crash data show. For example, crash data analytics might show an increase in road departure crashes. Based on that analysis, vehicle safety engineers can make adjustments to instruments in the car as well as alerts that can help control driver errors and keep the vehicle safely on the road.
A quick emergency response can make all the difference in saving the lives of crash victims. Many vehicles can now communicate directly with emergency responders immediately after a crash. The vehicle gives responders important information about the crash to help EMS tailor their response. For example, responders will know how fast the car was going, if the driver and passengers were wearing seat belts, if the air bags deployed and if the vehicle rolled over. This information can help the emergency technicians prepare on the way to the crash to intervene with life-saving help as soon as possible.
Another area gaining attention is the need for an enhanced 911 system that can pinpoint the exact location of emergency calls coming from cellphones. Next generation 911 systems will not only be able to do that, but also handle non-voice communication like video and other data streams. A 911 system that can accommodate cellphones and other data streams will help first responders deliver emergency services in the most efficient and effective way possible.
Ultimately, the goal is to connect the vehicle with 911, law enforcement officers, emergency responders, hospitals and trauma centers. Even if a driver physically can’t make a phone call, an automatic crash notification (ACN) system like On-Star can put the driver in touch with someone immediately. If the driver can’t communicate, the ACN operator is able to retrieve data from the car and communicate essential crash information to police, emergency responders and trauma centers. Advanced ACN are in development which could give medical history of the driver and passengers to emergency responders, as well.
Additionally, the crash information provided to EMS can be useful to law enforcement when conducting the crash investigation. Electronically collected information can reduce the amount of time law enforcement agencies take to enter crash data into the database. The in-vehicle ACN contains data including speed, change in speed, direction, airbag deployment, seat belt use and brake use. All of this information can be used in the overall crash investigation. Additionally, integrating data from the crash scene with state traffic management centers can help map a route for EMS so they can get to the scene as fast as possible.
Data collected at the scene of crashes also can help EMS learn from their responses. EMS response data includes things like response times, what kind of medical assistance was administered at the scene and whether or not the crash victims were transported to the hospital or trauma center. Applying analytics to that, and other crash scene, data enables responders to adjust procedures and put policies in place to improve efficiencies and save lives.
Nationwide traffic safety education efforts start with NHTSA and trickle down to the states. Data from crash databases help form these public education campaigns. For example, based on data, NHTSA established “Click It or Ticket” to increase seat belt use and “Drive Sober or Get Pulled Over” to discourage drunk driving. NHTSA and other traffic safety groups allocate valuable education resources on issues that will yield the greatest result in terms of reduced crashes, fatalities and injuries.
Police officers use routine traffic stops to not only issue tickets, but educate motorists about traffic safety laws and driving behavior. Often, traffic safety laws are enacted with a grace period and most law enforcement agencies take advantage of this time to educate the driving public about the impending change in laws and how they can stay in compliance. Additionally, law enforcement agencies partner with hospitals, trauma centers and fire stations to host community educational seminars about a variety of traffic safety issues.
Analytics can help government agencies like NHTSA, state DOTs and law enforcement make decisions about which public education campaigns will yield the greatest impact. For example, data collected immediately following a campaign like “Click It or Ticket” can help decision makers create future campaign plans to ensure the best use of resources and optimize return on investment.
SAFETEA-LU—the last federal act authorizing transportation programs—required states to implement a highway safety improvement program (HSIP). Reduction in the number of crashes was the measure for judging effectiveness of a state’s HSIP. It is difficult to determine the effectiveness of a HSIP without quality traffic safety and crash data. Sophisticated analysis of crash data can help identify areas where improvements must be made. Equipped with the right information, decision makers can take a forward-looking view and create traffic safety programs that make the best use of the Four E’s.
Traffic safety concerns may be addressed by several possible countermeasures based on the Four E’s. For example, road engineering can be used to remove a hazard like a sharp turn or narrow shoulder. If drunk driving crashes are on the rise, agencies can make adjustments to the way they are enforcing current laws. Another option might be to launch public education campaigns about a growing safety problem like distracted driving. Or, based on data, increase training for emergency responders on specific types of crashes.
This continuous collection, consolidation and analysis of crash and response data can provide critical information to state DOTs, law enforcement agencies, state highway safety offices, emergency responders, and hospitals and trauma centers. Data analytics enables government agencies to make critical decisions about possible changes to policies and procedures that will optimize each of the important Four E’s of traffic safety.
Melissa Savage is a Senior Industry Consultant with SAS Institute, Inc. focusing on transportation issues facing state and local governments. She can be reached at melissa.savage [at] sas.com
Sidebar: Mitigating Traffic-Related Injuries and Deaths
by Dale Peet
It’s never too early to start thinking about summer, which often gets more people traveling on our nation’s highways, and in cities and towns. That can mean more traffic crashes and fatalities.
In “The 4 E’s of Crash Analytics,” my colleague Melissa Savage reports how enforcement, engineering, emergency response and education are effective tools helping to reduce the number of vehicle crashes. A lot of states are using this approach toward a positive outcome.
One of the key considerations is the evaluation of crash data, not only by law enforcement as mentioned in the article, but also by officials on the engineering, medical and education sides of the equation.
People are familiar with the “golden hour,” that crucial timeframe in which medical response teams need to provide care and get those injured to trauma centers to save lives.
As a former law enforcement professional, I believe statistical analysis of medical response times and the locations of crashes are crucial toward the strategic positioning of medical personnel, ambulances, and EMS.
Evaluating crash data itself also gives law enforcement commanders the knowledge of the intersections, roadways, expressways and other streets where a significant number of crashes have occurred. Such data offers indications of what and where the problems are. Is the problem alcohol, speed and/or restraint related? Are there indications of distracted driving?
Commanders can then use such analysis to assign patrols to specific areas with specific missions, such as those related to alcohol- and speed-related crashes cited in the article.
Other times, there are stretches of road with high crash statistics but little rationale behind them. Special enforcement areas are one tool that, put in place, can help prevent crashes. Sometime, patrols aren’t necessarily the antidote. Perhaps better signage or changes in roadway design is all that is needed.
Whatever the reason, analytics can empower them to make better decisions on committing resources to reduce fatalities and serious-injury crashes. Yet an informed decision also is contingent on analyzing extensive amounts of crash data collected as near real time as possible . Having the right technology can help law enforcement determine the circumstances and causes of crashes more quickly, and facilitate a more effective, efficient response.
In my own state of Michigan, I had access to all crash data in my post area. Analytics helped me identify different locations for improved response times and resource allocation.
It definitely makes sense to have such information at your disposal and the analytics behind that data. It ultimately can help reduce crashes, save lives and reduce the cost of resources over time.
Lieutenant Dale Peet is a 23-year veteran of the Michigan State Police and the retired commander of the Michigan Intelligence Operations Center, Michigan’s largest and primary fusion center for homeland security. He now serves as Senior Industry Consultant at SAS. Peet can be reached at dale.peet [at] sas.com.