Research Article

Model Contrast of Autonomous Vehicle Impacts on Traffic

Table 1

Travel model subelement comparison.

Modeling elementMadison, WIGainesville, FL

PlatformCUBE voyager (scenario manager, application manager, data manager, keys)CUBE voyager (scenario manager, application manager, data manager, keys)

Time periods3 separate AM peak hours, 3 separate PM peak hours, midday, nightDaily

Base year20102010

Future year20502040

Internal zones1110560

External zones4126

Trip typesHome-based work, home-based shopping, home-based school, home-based other, non–home-based, home-based university, single-unit trucks, combination trucksHome-based work, home-based shopping, home-based social rec, home-based other, home-based university, university campus/dorm, non–home-based, 4-tire truck, single-unit trucks, tractor-trailer

Trip generationProductions: workers, household size x vehicles availableProductions: household size x dwelling type, autos available
Attractions: employment/school enrollment x coefficientsAttractions: employment/dwelling units/school enrollment x coefficients

Trip distributionGravity model: person trips by purposeGravity model: person trips by purpose

Mode splitNested logit: auto drive alone, auto shared ride, drive to local bus, walk to premium bus, drive to premium bus, bike, walkNested logit: auto drive alone, 2-person carpool auto, 3+ person carpool auto, walk to local bus, walk to premium bus, drive to transit, bike, walk

Highway assignmentEquilibrium with incremental loadingEquilibrium with incremental loading