A research effort by Suzanne E. Lee collected data on lane changes in a naturalistic driving environment. Sixteen commuters drove instrumented vehicles for ten days each, resulting in 8,667 lane changes observed over 23,949 miles of driving. The analysis examined frequency, duration, urgency, and severity of lane changes, with a detailed subset of 500 changes analyzed for sensor data like steering and eye glances.
Use Cases
- Modeling lane change urgency and severity based on maneuver type and direction variables mentioned in the description
- Analyzing driver behavior patterns like turn signal use and braking during lane changes
- Developing safety envelope concepts for lane changes based on forward and rearward area analysis
- Informing design recommendations for CAS display location and activation criteria
Strengths
- 8,667 lane changes observed, described as the largest known data collection effort for lane change study
- Data gathered automatically in a naturalistic environment with no experimenter present
- Detailed sensor analysis on a subset of 500 lane changes for behaviors like steering and eye glances
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Last update date is unknown; freshness unverified
Provenance
- Source
- Suzanne E. Lee
- Collection Method
- Automatic data gathering from two instrumented research vehicles driven by 16 commuters in a naturalistic setting.
- Time Range
- null
- Freshness
- Last updated date is unknown; freshness unverified.
- Geography
- null