How Cities Use Collision Index to Prevent Dangerous Crashes and Save Lives

A Collision Index helps cities identify high-risk roads, reduce crashes, and proactively plan safer, smarter infrastructure projects.

Cities today have a powerful new tool for proactive road safety: the collision index. Built from historical crash data, traffic volumes, speed patterns and road features, the collision index scores each street segment for collision risk. Mapping this index over a city instantly reveals hotspots – the corridors where serious crashes are most likely. Officials can then zoom in on segments with scores near 1 (highest risk) to see underlying causes. The map below is an example: high-risk roads (orange/red) stand out clearly against lower-risk streets (purple), guiding planners to the most dangerous areas.

Identifying Hazards Before Crashes Occur

Rather than waiting for another crash report, cities use collision indexes to identify danger in advance. The index aggregates multiple years of fatal crash counts with factors like speeding and road design, producing a risk score for every block. This lets planners visualize the High Injury Network – the handful of roads that account for most severe crashes. For example, a city might filter all segments by top-20% collision index and highlight them in the GIS system. Those hotspots clearly flag where “Vision Zero” countermeasures are needed. As one expert notes, officials can “pinpoint hotspots across their entire roadway network” by using this data.

By charting index trends over time, agencies also close the loop on safety. Data dashboards can compare collision rates before and after an intervention. If a new speed camera or crosswalk is installed, analysts track whether the collision index and actual crash counts fall. In this way, collision indexing not only identifies danger but also measures the effect of actions – ensuring that roadways remain safe following the implementation of countermeasures.

Prioritizing Safety Projects and Funding

One of the greatest benefits of a collision index is data-driven prioritization. When city leaders prepare safety or infrastructure budgets, having clear, visual evidence of danger helps win approval and funding. High collision index scores can guide the list of projects submitted to state or federal grants. 

For instance, planners can overlay the index map on proposed road diets, signal upgrades or sidewalk extensions, showing stakeholders exactly where and why each project is needed. As a city planner explained, such data helps planning officials decide which road projects to fund.

Likewise, collision index maps can support grant applications. Programs like USDOT’s Safe Streets for All (SS4A) or local safety initiatives award funds based on data-driven needs. A heat map of collision index by neighborhood makes a compelling case for allocating resources to the worst-off areas. One analysis notes that this data enables public works departments to craft maps of dangerous roadways that the public can use and justify safety investments. In practice, cities using collision indexing have seen more transparent, data-backed decisions about where to rebuild curbs, install crosswalks or improve lighting.

Examples of safety projects guided by collision data include:

• Road diet conversions. Reducing a four-lane undivided street to three lanes (adding a center turn lane) can cut crashes by roughly 20–45%. Cities spot high-index streets with severe crash patterns and reconfigure them to calm traffic.
• Traffic calming installations. At high-risk residential roads, cities add speed humps, chicanes or curb extensions. These slow cars and shorten pedestrian crossings. (For example, one study found a 37.5% drop in child-pedestrian collisions after speed hump installation.)
• Signal and crossing upgrades. Intersections with high collision scores may get longer walk signals, leading pedestrian intervals or upgraded signage. Improving signal timing can notably improve safety at busy junctions.

Each of these interventions can be pointed to on a map showing collision index. By targeting limited engineering dollars to index hotspots, cities maximize lives saved per project.

Targeted Enforcement and Community Action

Collision indexing also helps police and neighborhoods act in the short term. High index areas become priority zones for speed enforcement, sobriety checkpoints or traffic patrols. Law enforcement can plan overtime shifts and deploy automated speed cameras on just those blocks with the worst crash history. 

In New York City, for example, placing speed cameras in problem corridors led to a 55% drop in fatalities and a 63% drop in speeding in school zones. With a city-wide risk map, other jurisdictions can apply the same strategy: put eyes (and enforcement) on the streets where cars most endanger people.

Data also empowers community outreach. Cities can share index maps with neighborhood groups, showing citizens why certain streets are “dangerous.” Local engagement such as meetings with residents on high-index blocks helps tailor solutions (e.g. signage, crosswalks or education). Feedback signs and traffic-slowing street art might follow once an index identifies a risky corridor. As Urban SDK COO Justin Dennis notes, collision data can lead to more law enforcement attention for those spots and eventual improvements. In short, the index not only signals where trouble is but also mobilizes both authorities and communities to stop crashes before they happen.

Cities are already putting this into practice. For example, the City of Camas, Washington – a suburban community of 26,000 – partnered with an AI traffic platform to address growing traffic safety concerns and better identify accident hotspots. As Dennis, explains, collision data gives cities the visibility they need to direct law enforcement to the right places—and ultimately drive real safety improvements. In short, the Collision Index doesn’t just identify danger; it empowers both city officials and communities to take proactive steps that prevent crashes before they happen.

Camas leaders use the collision index and accompanying speed data to guide traffic calming and enforcement initiatives. Likewise, hundreds of municipalities (over 165 and counting) now access collision risk maps to inform daily enforcement plans and respond swiftly to citizen complaints.

From Data to Results: Saving Lives

Collision indexing is powerful because it closes the gap between knowing the danger and doing something about it. By pinpointing trouble spots, it focuses city efforts where they matter most. Studies show that data-driven countermeasures work. For example, automated speed enforcement (aided by hotspot data) produced a 55–60% reduction in NYC’s severe crashes. Road diets have cut total crashes by up to 47% on selected corridors. Each of these outcomes aligns with a drop in the collision index after improvements—meaning fewer lives lost.

Importantly, collision indexing helps cities move beyond reactive fixes. Rather than only responding after a tragic crash, planners can now predict which streets need attention next. This proactive approach is at the heart of Vision Zero and modern traffic safety strategies. As one safety official put it, having index-based analytics means “officials can proactively determine where to allocate resources” and “continuously monitor trends” in crash risk. In practice, that means fewer surprises and more prepared communities.