Analysis of mandatory and discretionary lane change behaviors for heavy trucks
Provides empirical data on heavy truck lane change behavior for improving microscopic simulations and driver-assistance systems.
This paper analyzes heavy truck drivers' lane change behaviors, finding that mandatory lane changes are more aggressive in gap acceptance and execution than discretionary ones, based on 640 mandatory and 2,035 discretionary events from naturalistic driving data.
The behaviors of heavy vehicles drivers in mandatory and discretionary lane changes are analyzed in this paper. 640 mandatory and 2,035 discretionary lane change events were extracted from a naturalistic driving database. Variations in gap acceptance and lane change duration were investigated. Statistical analysis showed that mandatory lane changes are more aggressive in gap acceptance and lane change execution than discretionary lane changes. The results can be used for microscopic simulations, and design and evaluation of driver-assistant systems.