An agent-based model of Île-de-France: Overview and first results
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(2) An agent-based model of Île-de-France Overview and first results Sebastian Hörl MATSim Conference Paris 26 September 2019. 1.
(3) The street in 1900. 2 http://www.loc.gov/pictures/item/2016800172/.
(4) The street today. 3 https://commons.wikimedia.org/wiki/File:Atlanta_75.85.jpg.
(5) The street of tomorrow? Autonomous Mobility Mobility as a Service Mobility on Demand Electrification Urban Air Mobility. 4 Julius Bär / Farner.
(6) Agent-based models. https://pixabay.com/en/traffic-jam-stop-and-go-rush-hour-143391/. Senozon VIA. 5.
(7) The case of Île-de-France. RP. Census data Récensement de la population. 6 Icons on this and following slides: https://fontawesome.com // Background: Simunto VIA.
(8) The case of Île-de-France RP. FiLo SoFi. Dispositif sur les revenus localisés sociaux et fiscaux Income tax data. 7.
(9) The case of Île-de-France RP. RP Mob. FiLoSoFi. RP: Flux de mobilité Commuting data. 8.
(10) The case of Île-de-France RP. EGT. ENTD. FiLoSoFi. RP Mob. Enquête globale de transport Household Travel Survey Enquête national transports et deplacements Household Travel Survey. 9.
(11) The case of Île-de-France RP. EGT. ENTD. FiLoSoFi. RP Mob. Enquête globale de transport Household Travel Survey Enquête national transports et deplacements Household Travel Survey. 10.
(12) The case of Île-de-France RP. BPE. FiLoSoFi. RP Mob. EGT. ENTD. Base permanente des équipements Enterprise census. 11.
(13) The case of Île-de-France RP. FiLoSoFi. RP Mob. OSM. OpenStreetMap Road network. GTFS. IDFm GTFS Public transport schedule. EGT. ENTD. BPE. 12.
(14) The case of Île-de-France RP. DCM. FiLoSoFi. RP Mob. EGT. ENTD. BPE. OSM. GTFS. Discrete choice model Agent behaviour. 13.
(15) The case of Île-de-France RP. FiLoSoFi. RP Mob. EGT. ENTD. BPE. OSM. GTFS. DCM. 14.
(16) The case of Île-de-France RP. FiLoSoFi. RP Mob. EGT. ENTD. BPE. OSM. GTFS. DCM. 15.
(17) The case of Paris RP. FiLoSoFi. RP Mob. EGT. ENTD. BPE. OSM. GTFS. DCM. 16.
(18) The case of Paris RP. FiLoSoFi. RP Mob. EGT. ENTD. BPE. OSM. GTFS. DCM. 17.
(19) The case of Paris RP. FiLoSoFi. RP Mob. EGT. ENTD. BPE. OSM. GTFS. DCM. 18.
(20) The case of Paris RP. FiLoSoFi. RP Mob. EGT. ENTD. BPE. OSM. GTFS. DCM. 19.
(21) The case of Île-de-France RP. FiLoSoFi. RP Mob. EGT. ENTD. BPE. OSM. GTFS. DCM. 20.
(22) The case of Île-de-France RP. FiLoSoFi. RP Mob. EGT. ENTD. BPE. OSM. GTFS. DCM. 21.
(23) The case of Île-de-France RP. FiLoSoFi. Open Data. RP Mob. +. EGT. ENTD. Open Software. BPE. =. OSM. GTFS. DCM. Reproducible research Verifiable results Integrated testing. Detailed documentation of whole open-source pipeline is under preparation 22.
(24) Case study: AMoD. Automated mobility on demand = "driverless taxi". Open Questions Optional fleet control? Single taxi vs. pooling? Induced demand? Policies? .... 23 https://commons.wikimedia.org/wiki/File:Neuhausen_a_Rh,_fahrerloser_Bus,_1.jpeg.
(25) Case study: AMoD. 24.
(26) Case study: AMoD Travel Behaviour Zurich model, calibrated for Paris population Cost sturcture Adapted from Berlin AMoD Simulation Amodeus framework. 25.
(27) Case study: AMoD. * Hörl, S., M. Balac, and K.W. Axhausen (2019) Dynamic demand estimation for an AMoD system in Paris, Upcoming.. 26.
(28) Thanks! Questions?. sebastian.hoerl@ivt.baug.ethz.ch Slides: https://slides.com/sebastianhorl/matsim-paris. 27.
(29) AMoD Cost Calculator. 28 Bösch, P.M., F. Becker, H. Becker and K.W. Axhausen (2018) Cost-based analysis of autonomous mobility services, Transport Policy, 64, 76-91.
(30) AMoD Survey. 29 Felix Becker, Institute for Transport Planning and Systems, ETH Zurich..
(31) AMoD in Paris Maximum static demand: 2.3M trips. * Hörl, S., M. Balac, and K.W. Axhausen (2019) Dynamic demand estimation for an AMoD system in Paris, Upcoming.. 30.
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