travel-modeling

There are 4 repositories under travel-modeling topic.

• ActivitySim / activitysim

  An Open Platform for Activity-Based Travel Modeling

  pythontravel-modelingdata-sciencebsd-3-clausemicrosimulationactivitysim
  Language:Jupyter Notebook 188

• matsim-org / matsim-code-examples

  A repository containing code examples around MATSim

  matsimagent-based-simulationagent-basedtravel-modeling
  Language:Jupyter Notebook 73

• osPlanning / omx

  Open Matrix (OMX)

  matrix-dataomxopen-datatravel-modeling
  Language:Jupyter Notebook 47

• RSGInc / DaySim

  DaySim Activity-Based Model

  c-sharpscientific-computingtravel-modeling
  Language:C# 29

• CMAP-REPOS / cmap_abm

  CMAP's activity-based model source code

  travel-modelingactivity-based-modelingemmect-ramp
  Language:Java 16

• SchweizerischeBundesbahnen / abm-in-visum

  ABM-in-Visum: a collaborative project for activity-based transport demand modelling within the PTV Visum software hosted by Swiss Federal Railways (SBB).

  travel-modelingptv-visumsimba-mobisimulationabmtransportation-simulationactivity-basedtravel-demand
  Language:Python 15

• kalgishah02 / SnapLoc

  SnapLoc is a product that does automatic image classification and spatio-temporal analysis in order to recommend the places of interest in a new city. The packages that I have used for creating the product are Python(Pandas, NumPy, Shapely, Keras, Leaflet) and TensorFlow

  tensorflowgeospatialspatial-analysisimage-classificationshapelyleafletgeojsonspatialclusteringspatio-temporal-analysisflickrtravel-modelingspatial-clusteringspatial-data-analysis
  Language:Jupyter Notebook 14

• RSGInc / ActivityViz

  ActivityViz - Travel and Activity Data Visualization Dashboard

  data-visualizationscientific-computingtravel-modelingjavascriptdata-fusionpassive-datatravel-survey
  Language:JavaScript 10

• RSGInc / bca4abm

  Benefit Cost Analysis for Travel Demand Models

  pythontravel-modelingscientific-computingdata-science
  Language:Python 7

• RSGInc / SOABM

  ODOT Southern Oregon ABM

  activity-basedjavapythontravel-modeling
  Language:Java 6

• CMAP-REPOS / cmap_freight_model

  CMAP’s tour-based and supply chain freight model source code

  travel-modelingsupply-chaincommodity-flowsr-package
  Language:R 5

• CMAP-REPOS / mhn_programs

  Code for managing CMAP's Master Highway Network geodatabase

  travel-modelingarcpy
  Language:Python 5

• CMAP-REPOS / mrn_programs

  Code for managing CMAP's Master Rail Network geodatabase

  travel-modelingarcpy
  Language:SAS 4

• CMAP-REPOS / abm_scenario_creator

  Code for modifying transit network policies in CMAP's Activity Based Model and analyzing the results

  travel-modeling
  Language:Python 3

• CMAP-REPOS / cmap_trip-based_model

  CMAP's trip-based ("four-step") model source code

  travel-modelingemme
  Language:Python 3

• MetroModelingServices / metro_mce

  Metro Multi-Criteria Evaluation (MCE) Toolkit

  benefit-costpythontravel-modeling
  Language:R 3

• CMAP-REPOS / cmap_abm_report

  Validation report for CMAP's activity-based model

  travel-modelinggh-pages
  Language:JavaScript 2

• wsp-sag / client_arc_activitysim

  Atlanta Regional Commission (ARC) ActivitySim Implementation

  activitysimtravel-modelingdata-sciencearc-activitysimatlantapythontransportation
  Language:Python 2

• bademiya21 / Identifying-Commuter-Travel-Patterns-In-Bus-Services

  A project I did with Land Transport Authority, a statutory board, whose main role is to manage the transportation infra of Singapore which includes public transport like bus and trains. The agency was interested to understand how the bus services were being utilized by commuters during peak hours and if interventions could be introduced to further enhance commuter experience on bus services e.g. shorter waiting time, faster trips with skipping of bus stops etc. This required understanding archetypes of travel patterns by commuters in bus services. This project is an extension of what was previously done here: https://blog.data.gov.sg/fingerprint-of-a-bus-route-73e5be53dcf0

  clusteringfeature-engineeringorigin-destinationtransportpyspark-notebookpysparksqlpandassklearnpythontravel-modelingpattern-recognitionmachine-learningdata-science
  Language:Jupyter Notebook 1

• Raajroi / TRAVEL_GUIDE_SYSTEM

  JAVA WEB APPLICATION

  webapplicationtravel-modelingreactivejavajavaprojectfeedback-systemslogin-systemvendorregistration-portalshopping-carttesting-tools
  1

• stanvir / language-gisdk

  Atom syntax highlighting for GISDK scripts

  demand-forecastingtranscadtravel-modeling
  0

• BayAreaMetro / TAZ_MAZ_Finder

  MTC Travel Analysis Zone and Micro Analysis Zone Map Finder

  travel-modelingtaztravel-modeling-one
  Language:JavaScript

• CMAP-REPOS / trip-based-model-validation

  Validation report for CMAP's trip-based ("four-step") model

  travel-modelinggh-pages
  Language:JavaScript

• Vaporjawn / Travel-Logger

  Fullstack Javascript and JSON web-based travel log

  travel-logtraveltravelingtravel-blogtravelerstravelstravel-modeling
  Language:JavaScript