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.

An agent-based model of Paris and Île-de-France

By Sebastian Hörl

An agent-based model of Paris and Île-de-France

MATSim Conference Paris, 26 September 2019

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