Enhanced Field Observation of Traffic Patterns for Intersection Collision Warning Systems

This paper describes an ongoing research project on safety countermeasures for preventing left-turn crossing-path collisions at signalized intersections. The author reports an update on the research activities especially on field data collection, where a combination of sensing technologies are deployed to detect and measure traffic conflict scenarios that are possible situations for offering warnings to the drivers. This is an ongoing study from earlier investigations when a methodology was developed to extract scenario-specific parameters of interests. An enhanced set of sensing devices are combined and used to acquire more accurate and informative data for the developments of warning algorithms. The author hopes that data from this study will provide valuable inputs for the implementation of intersection safety countermeasures.