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Lane change is a very demanding driving task and number of traffic accidentsare induced by mistaken maneuvers. An automated lane change system has thepotential to reduce driver workload and to improve driving safety. Onechallenge is how to improve driver acceptance on the automated system. From theviewpoint of human factors, an automated system with different styles wouldimprove user acceptance as the drivers can adapt the style to different drivingsituations. This paper proposes a method to design different lane change stylesin automated driving by analysis and modeling of truck driver behavior. A truckdriving simulator experiment with 12 participants was conducted to identify thedriver model parameters and three lane change styles were classified as theaggressive, medium, and conservative ones. The proposed automated lane changesystem was evaluated by another truck driving simulator experiment with thesame 12 participants. Moreover, the effect of different driving styles ondriver experience and acceptance was evaluated. The evaluation resultsdemonstrate that the different lane change styles could be distinguished by thedrivers; meanwhile, the three styles were overall evaluated as acceptable onsafety issues and reliable by the human drivers. This study provides insightinto designing the automated driving system with different driving styles andthe findings can be applied to commercial automated trucks.

Analysis of Truck Driver Behavior to Design Different Lane Change Styles in Automated Driving