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A clustering approach to integrate traffic safety in road maintenance prioritization
Kira H Janstrup1, Mette Møller1, Ninette Pilegaard1
1a Department of Technology, Management and Economics , Technical University of Denmark , Lyngby , Denmark.
Traffic Injury Prevention
|May 11, 2019
Summary
Combining road and crash data reveals patterns for prioritizing road maintenance. Integrating geographical location and crash details offers a clearer safety strategy than focusing on maintenance levels alone.
Area of Science:
- Traffic Safety Engineering
- Transportation Planning
- Data Analysis
Background:
- Road maintenance prioritization traditionally focuses on infrastructure condition.
- Understanding crash patterns related to road characteristics is crucial for effective safety interventions.
- Existing methods may not fully integrate diverse data sources for comprehensive road safety analysis.
Purpose of the Study:
- To identify patterns in road traffic crashes by analyzing road and crash characteristics.
- To demonstrate how combining road maintenance, crash data, and geographical information can improve road maintenance prioritization for traffic safety.
- To explore the relationship between road maintenance levels, crash severity, and geographical distribution.
Main Methods:
- Analysis of 3,964 traffic crashes in Denmark (2010-2015) merged with road maintenance and traffic volume data.
- Application of latent class clustering (LCC) to identify crash clusters based on road and crash attributes.
- Comparison of crash severity, maintenance costs, and geographical distribution across identified clusters using chi-square tests and map matching.
Main Results:
- No significant difference in crash severity distribution was found based solely on road maintenance levels.
- Latent class clustering identified 11 distinct crash clusters, with varying associations to road maintenance levels (poor, acceptable, new).
- Clusters showed differences in injury severity, estimated maintenance costs, and geographical crash locations, particularly when considering crash characteristics beyond road condition.
Conclusions:
- Prioritizing road maintenance based only on maintenance levels and crash severity is insufficient for traffic safety.
- A combined analysis incorporating geographical location and detailed crash characteristics provides a more nuanced approach to road maintenance prioritization.
- This integrated approach enables consideration of diverse target groups and safety perspectives for more effective interventions.
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