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