Helping Law Enforcement Agencies Proactively Reduce Traffic Crashes Caused by Unsafe Driving Behaviors

by John McCombs, Haitham Al-Deek, Adrian Sandt, and Grady Carrick

Traffic safety is important for communities around the world.  One key component of traffic safety is law enforcement.  Law enforcement officers help ensure that drivers follow the rules of the road and keep our roadways safe.  Since 2019, United States law enforcement agencies have experienced limited staffing and low recruitment.  Having fewer officers available makes it difficult for law enforcement to proactively patrol roadways while also responding to traffic crashes.  Given this limited staffing, it is important to help law enforcement agencies prioritize where officers should be allocated so they can proactively stop unsafe drivers before crashes occur. 

TRR published paper titled “Identifying Important Roadway Corridor Factors which Affect Crashes Influenced by Unsafe Driving Behaviors to Help Law Enforcement Proactively Reduce Crashes” authored by John McCombs, Haitham Al-Deek, Adrian Sandt, and Grady Carrick focused on locating priority corridors for proactive law enforcement patrols.  Our University of Central Florida research team under the leadership of Professor Haitham Al-Deek, Ph.D., P.E., with the help of Dr. Grady Carrick from Enforcement Engineering, Inc., who is an ex-chief of police for the Florida Highway Patrol (Jacksonville area), identified roadway factors which influenced the frequency of unsafe driving behaviors (such as failing to stop at a red light or careless driving) on major signalized roadway corridors in Florida.  Understanding these factors will help law enforcement agencies identify corridors which have a high risk of crashes and could most benefit from increased patrolling.  For this research, we defined a corridor as a stretch of roadway containing the same area type and number of lanes, with each corridor required to have at least one lane in each direction, the same number of lanes in each direction, be at least 0.5 miles long, and contain at least one signalized intersection.  Applying this definition resulted in 406 roadway corridors in seven Florida counties with a high number of injuries and fatalities due to unsafe driving behaviors.  Using a corridor-based approach instead of analyzing individual intersections or roadway segments makes it easier to implement patrols while also providing a more holistic view of traffic safety. 

Next, we used a machine learning algorithm known as random forests to identify the significant influential roadway factors for crashes resulting from unsafe driving behaviors in these corridors.  Machine learning helps to find insights in the data that traditional analysis approaches might not identify.  We were able to identify the factors which affect crash rates for three different crash groups: total crashes (all crashes ranging from property damage only to fatal crashes), fatal and injury crashes only, and only fatal and injury crashes involving careless or reckless driving. 

For all three crash groups, corridors in Pasco County (which is part of the greater Tampa Bay area in west central Florida) were predicted to have much higher crash rates than corridors in the other study counties.  Law enforcement citation data suggested that Pasco County likely had limited proactive patrols to help curb unsafe driving behaviors.  Therefore, increasing law enforcement patrols in Pasco County corridors could help proactively reduce crashes.  It was also found that corridors with more signalized intersections per mile; either 1, 3, or 4 lanes in each direction; or which contained a midblock crosswalk not at an intersection had higher crash rates for all three crash groups, so prioritizing law enforcement in corridors with these characteristics could help reduce crashes.

Some additional factors were found to only be significant for one or two of the studied crash groups.  Corridors with higher traffic volumes and speed limits were predicted to have more total crashes, while corridors which contained an entrance or exit ramp to an interstate or toll road were predicted to have more total crashes and more fatal and injury crashes.  School zones were predicted to reduce total crashes and fatal and injury crashes due to careless or reckless driving.  Finally, straight corridors and corridors with bike lanes were predicted to have more fatal and injury crashes (for all unsafe driving behaviors and specifically careless or reckless driving).

Using these results, law enforcement agencies can identify roadway corridors in their jurisdictions which have these influential factors and assess if they should receive additional proactive patrols.  Prioritizing corridors with high signalized intersection densities, traffic volumes, and speed limits is likely to help deter unsafe driving behaviors.  Although this research only used Florida data, a similar approach could be used by agencies in other states to identify influential factors and priority corridors where law enforcement patrols would best keep the motoring public safe.

Article Details
Identifying Important Roadway Corridor Factors which Affect Crashes Influenced by Unsafe Driving Behaviors to Help Law Enforcement Proactively Reduce Crashes
John McCombs, Haitham Al-Deek, Adrian Sandt, Grady Carrick
First published March 29, 2024 Research Article
DOI: 10.1177/03611981241234921
Transportation Research Record: Journal of the Transportation Research Board

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