  Rapid technological progress and innovation in the areas of vehicle
connectivity, automation and electrification, new modes of shared and
alternative mobility, and advanced transportation system demand and supply
management strategies, have motivated numerous questions and studies regarding
the potential impact on key performance and equity metrics. Several of these
areas of development may or may not have a synergistic outcome on the overall
benefits such as reduction in congestion and travel times. In this study, the
use of an end-to-end modeling workflow centered around an activity-based
agent-based travel demand forecasting tool called POLARIS is explored to
provide insights on the effects of several different technology deployments and
operational policies in combination for the Chicago region. The objective of
the research was to explore the direct impacts and observe any interactions
between the various policy and technology scenarios to help better characterize
and evaluate their potential future benefits. We analyze system outcome metrics
on mobility, energy and emissions, equity and environmental justice and overall
efficiency for a scenario design of experiments that looks at combinations of
supply interventions (congestion pricing, transit expansion, tnc policy,
off-hours freight policy, connected signal optimization) for different
potential demand scenarios defined by e-commerce and on-demand delivery
engagement, and market penetration of electric vehicles. We found different
combinations of strategies that can reduce overall travel times up to 7% and
increase system efficiency up to 53% depending on how various metrics are
prioritized. The results demonstrate the importance of considering various
interventions jointly.
