Integrating automated vehicles into macroscopic travel demand models

Abstract

The development of vehicles with increasing levels of automation will change transport supply and is likely to influence travel demand. The paper looks at ways of integrating characteristics of AV and AV-related mobility services in traditional macroscopic travel demand models based on the four-stage algorithm. It suggests a framework for (1) modelling impacts of AV on network performance and capacity, for (2) modelling impacts of AV on travel demand and for (3) modelling impacts of vehiclesharing systems on empty trips and the bundling of ridesharing trips. To model capacity three approaches are described quantifying capacity in passenger car units, in vehicle units and in time units. For mode choice approaches with a Multinomial Logit model, a Nested Logit model and a Cross-Nested Logit model are compared.