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An Open Platform for Activity-Based Travel Modeling

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Consolidating a number of LOS management features requests into this issue. - Level-of-service Manager (https://github.com/ActivitySim/activitysim/issues/743) - LOS Roster (https://github.com/ActivitySim/activitysim/issues/748) - Reading Multiple OMX Skim Files (https://github.com/ActivitySim/activitysim/issues/721) **Level-of-service Manager** The level-of-service-manager...

Feature (Phase)

**Describe the bug** School tour scheduling EDB has univ override and modeled choices, and univ tour scheduling EDB does not have univ override and modeled choices **To Reproduce** Run estimation...

Bug

This feature is intended to address regional in-commuting and out-commuting. Some number of jobs in a region are "consumed" by workers who commute into the region. This varies by geography,...

Feature (Phase)

ActivitySim allows model owners to implement arbitrarily large choice model problems. Meaning, ActivitySim does not limit the number of agents that can be simulated nor the number of choices any...

Feature (Phase)

Model additional travel markets such as airport trips, vistors, universities (see other item), freight (see other item), etc. This can take several forms, including aggregate, disaggregate, trip-based, tour-based, etc. Several...

Feature (Phase)

MTC, SANDAG, and others have built AV/TNC supply side / fleet management / routing modules. These modules are similar to transit supply models in that they attempt to model a...

Feature (Phase)

Vehicles owned / managed as fleets would be tracked in time and space, including how vehicles respond to trip requests, deadheading, etc

Feature (Phase)

HH level implementation: where the vehicles owned / available to a HH are tracked in time and space based on the choices made by HH members Revised Description: The purpose...

Feature (Phase)

Document to help identify the major work items for the next X years (2-5 years).

Feature (Phase)

The current implementation of ActivitySim relies on a uniform random number draw to choose a discrete alternative from a probability distribution. While this method is computationally convenient and consistent with...

Feature (Phase)