A Data-Driven Approach to Implementing Wrong-Way Driving Countermeasures

Alluri, Priyanka; Wu, Wanyang; Nafis, Sajidur; Hagen, Larry T. · 2018 · ROSA P / Florida. Department of Transportation. Research Center

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Summary

This study addresses the challenge of strategically deploying countermeasures for wrong-way driving (WWD) incidents, which are rare but often result in severe head-on collisions. Because WWD crashes are random, a system-wide deployment of mitigation strategies across Florida’s 1,642 off-ramp locations requires careful prioritization to maximize safety benefits. The research aimed to develop a demographics-based methodology to identify regions with pre-conditions for increased WWD likelihood and to determine the most suitable countermeasures for each location. The researchers conducted a spatial and descriptive analysis using data from 6,880 WWD crashes in Florida between 2011 and 2015. This crash data was integrated with demographic information from the 2015 Census Block Groups dataset and land-use data from the 2015 Florida Parcel Land-use dataset. The analysis focused on three specific driver categories: impaired drivers, drivers aged 65 years and older, and tourists. The methodology involved three steps: identifying WWD hotspots across seven Florida Department of Transportation (FDOT) districts; analyzing crashes on freeways to associate them with upstream off-ramps; and examining demographic and land-use factors at off-ramps not flagged in the previous steps. A conservative approach was used to assign a predominant factor to each off-ramp, prioritizing impaired drivers, followed by older drivers, and then tourists. The findings revealed distinct associations between land-use factors and specific crash categories. The density of alcohol sales establishments was highly associated with WWD crashes involving impaired drivers. A somewhat associative relationship was found between facilities attracting older adults, such as senior population centers and health facilities, and crashes involving drivers aged 65 and older. However, no observable relationship was detected between the density of tourist facilities and WWD crashes involving tourists. Based on these predominant factors, the study recommended specific engineering countermeasures. For locations dominated by impaired drivers, a combination of red rectangular rapid flashing beacons (Red-RRFBs) and internally illuminated raised pavement markers (iiRPMs) was suggested. For areas with older drivers, LED lights surrounding Wrong Way signs combined with iiRPMs were recommended. For tourist-heavy areas, either Red-RRFBs or LED-lit signs were proposed. Additionally, new signing and pavement markings were recommended for all off-ramps. The significance of this work lies in providing a proactive, data-driven framework for the Florida Department of Transportation to implement WWD countermeasures systematically. By linking specific demographic and land-use factors to crash types, the study enables targeted resource allocation. This approach not only guides engineering interventions but also assists law enforcement and advocacy groups in focusing their efforts on high-risk locations, thereby enhancing the overall effectiveness of WWD mitigation strategies.

Key finding

The density of alcohol sales establishments was highly associated with wrong-way driving crashes involving impaired drivers, whereas no observable relationship existed between tourist facility density and crashes involving tourists.

Methodology

dataset

Sample size: 6880

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

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• incidence prevalence
• induced exposure
• naturalistic crash near crash
• urban rural setting
• pre crash contributing factors
• demographic disparities

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: crash risk outcomes, observational prevalence
• Methodological Resource: dataset resource