Infrastructure Safety Assessment Using Connected Vehicle Data
Brian L. Smith, PE
The objective of this project is to investigate the feasibility of using connected vehicle data to create a system to identify infrastructure safety problems based on vehicular data indicating a high frequency of evasive driving maneuvers indicative of near-misses. Specific objectives of this study can be summarized as follows;
1. To identify thresholds for vehicle maneuvers (i.e. lateral control and accelerations) that may indicate an evasive maneuver.
2 To delve into statistical tests to combine frequency of maneuvers with location data to identify hot spots.
3. To demonstrate and test this approach using the UTC Northern Virginia testbed.
4. To validate this approach by comparing results to traditional crash data analysis results.
The final success of this project will be determined by the ability to identify hot spots more quickly and accurately than using traditional methods. Considering that near misses are much more frequent than collisions, there should be evidence of a hot spot more quickly because of the ability to observe a near miss, combined with the accurate location of the vehicles involved using connected vehicles. Final results of this project will include the development of technique for network screening using connected vehicle technology.