2022
DOI: 10.1016/j.procs.2022.03.079
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Mode choice and ride-pooling simulation: A comparison of mobiTopp, Fleetpy, and MATSim

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Cited by 1 publication
(2 citation statements)
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“…The base model with the modes walk, bike, car, ride and public transport was calibrated in 300 iterations to the modal share of the city of Munich ( 41 ) with a target tolerance of ± 1 % . In each iteration, every agent has a 20% chance to change the mode of one subtour or trip, according to Zwick et al ( 42 ), a 10% chance to recompute its routes for routed modes like public transport, car and ride and a 70% chance to choose from its best five plans memorized throughout the simulation. Between 70% and 80% of all iterations, the shares for choosing another mode or rerouting are reduced linearly to 0% and the share of the latter strategy increased to 100% respectively.…”
Section: Data Preparation and Scenario Setupmentioning
confidence: 99%
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“…The base model with the modes walk, bike, car, ride and public transport was calibrated in 300 iterations to the modal share of the city of Munich ( 41 ) with a target tolerance of ± 1 % . In each iteration, every agent has a 20% chance to change the mode of one subtour or trip, according to Zwick et al ( 42 ), a 10% chance to recompute its routes for routed modes like public transport, car and ride and a 70% chance to choose from its best five plans memorized throughout the simulation. Between 70% and 80% of all iterations, the shares for choosing another mode or rerouting are reduced linearly to 0% and the share of the latter strategy increased to 100% respectively.…”
Section: Data Preparation and Scenario Setupmentioning
confidence: 99%
“…In contrast to the default mode choice mechanism in MATSim, which uses a random exploration of mode alternatives, an incremental multinomial logit (MNL) based approach is used for this research ( 42 ). For a randomly selected share of the population, a MNL trip mode selection is applied for a randomly selected trip of an agent’s plan.…”
Section: Data Preparation and Scenario Setupmentioning
confidence: 99%