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An improved replanning strategy for congested traffic conditions in MATSim
(2020)Procedia Computer ScienceAgent-based transport models such as MATSim have been developed and used for the past few decades to simulate transportation systems in different cities and are capable of accurately reproducing travel patterns at different levels of aggregation. Given their disaggregate representation of both travel demand and supply as well as the high level of spatial and temporal detail, agent-based transport models also have the potential to allow ...Conference Paper -
System level policies for pooled autonomous vehicles
(2021)2021 TRB Annual Meeting OnlineWith the introduction of autonomous vehicles (AV), new operating schemes for public transport services will become available. Autonomous Transit on Demand (AToD) is an attractive alternative to the current modes of transportation. It is a station-based service that allows passengers' pooling in AVs and direct connections from any PUDO (pick-up and drop-off) station to any other without detours or dynamic ride sharing. A minimal necessary ...Conference Paper -
Relaxation-discretization algorithm for spatially constrained secondary location assignment
(2020)Agent-based transport models demand that the daily activity patterns of artificial agents are described in great detail. While established choice models for residential locations or work places exist, only few approaches are available to find locations for highly constrained secondary activities such as grocery shopping or recreation. The paper describes a novel data-driven approach of assigning viable locations to such secondary locations ...Conference Paper -