Research Article

Model Contrast of Autonomous Vehicle Impacts on Traffic

Table 2

FDOT adjustments for CAVs.

FactorCAV effect simulatedControl parameter

Trip length averageThe lengths of trips such as home-based work (HBW) may increase due to the change in value of time when relieved from drivingFriction factor (FF)—a factor of the gravity model that sets the travel impedance among zones. This may change the trip distribution among zones

Roadway capacityDensity balancing, automatic rerouting, smoother traffic flows, fewer incidents, and higher throughput from closer travel gaps and higher speedsHighway capacity (HC)—lookup table adjustments to the capacities of freeways and expressways (HC-FE) in the central business district (CBD), and capacities of divided arterials (HC-AD) and undivided arterials (HC-AU) in urban areas

AccessibilityDoor-to-door service and self-parking will reduce the out-of-vehicle travel time necessary to access transportationTerminal time (TT)—lookup table for the factor reduction in out-of-vehicle travel time in CBD and fringe areas

Mode choiceIncreased accessibility and door-to-door convenience for nondrivers may spur a shift away from public transitAuto trip table—factor increase in trips taken by the current nondrivers (AT-D) and a factor increase for special zones that AVs service (AT-S)