Lane‐Changing Behavior on Urban Streets: An “In‐Vehicle” Field Experiment‐Based Study

Lane-changing behavior has received increas- ing attention during the recent years in traffic flow mod- eling. Researchers have developed various algorithms to model the maneuvers on both highways and ur- ban streets. However, the majority of these models was derived and validated using data such as vehicle trajecto- ries, without many considerations of driver characteris- tics. In this study, an instrumented vehicle-based experi- ment was carefully designed to observe the drivers' action under various urban lane-changing scenarios. The per- sonal background data, and "in-vehicle" driver behavior and trajectory data were obtained from the experiment, and used to classify 40 drivers into four general groups according to the lane-changing maneuvers performed in an urban street environment. Additional comparisons and analysis were conducted to confirm the categoriza- tion results. The article concludes by providing recom- mendations related to the implementation of study find- ings into micro-simulators, such as using only four driver types in CORSIM instead of the existing 10 types, to bet- ter replicate driver behavior in urban street networks.

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