Introducing the eqasim pipeline: From raw data to agent-based transport simulation

Sebastian Hörl, Miloš Balać

25 March 2021

ABMTRANS 2021

Motivation

Agent-based transport simulations (studies) require considerable input data, which generally consists of the transport supply and transport demand
Usually the generation of transport supply and demand is decoupled from the agent-based model itself.
This leads to situations where one cannot trace back the inputs of the studies, which makes them unreproducible and unverifiable by others.
Use of proprietary data further complicates the situation

eqasim

An integrated pipeline from raw data to agent-based simulation:

Synthesis of travel demand
Agent-based simulation

eqasim

An integrated pipeline from raw data to agent-based simulation:

Synthesis of travel demand
Agent-based simulation

eqasim - Synthesis of travel demand

Census data

Récensement de la population

Île-de-France

Dispositif sur les revenus localisés sociaux et fiscaux
Income tax data

FiLo
SoFi

Île-de-France

RP: Flux de mobilité
Commuting data

RP
Mob

FiLoSoFi

Île-de-France

SIRENE
Enterprise census

FiLoSoFi

RP Mob

BD-TOPO
Address database

Île-de-France

FiLoSoFi

RP Mob

Enquête globale de transport
Household Travel Survey

EGT

FiLoSoFi

RP Mob

Enquête national transports et deplacements
Household Travel Survey

ENTD

Île-de-France

FiLoSoFi

RP Mob

SIRENE

BD-TOPO

Enquête globale de transport
Household Travel Survey

EGT

FiLoSoFi

RP Mob

Enquête national transports et deplacements
Household Travel Survey

ENTD

Île-de-France

FiLoSoFi

RP Mob

SIRENE

BD-TOPO

Île-de-France

Person ID

Age

Gender

Home

male

(x,y)

female

(x,y)

female

(x,y)

FiLoSoFi

RP Mob

FiLoSoFi

RP Mob

EGT

ENTD

SIRENE

BD-TOPO

Person ID

Activity

Start

End

Loc.

523

home

08:00

(x,y)

523

work

08:55

18:12

(x,y)

523

shop

19:10

19:25

(x,y)

523

home

19:40

(x,y)

Person ID

Mode

Start

End

523

Public T.

08:55

523

Public T.

18:12

19:10

523

Walking

19:25

19:40

08:00

Île-de-France

FiLoSoFi

RP Mob

FiLoSoFi

RP Mob

EGT

ENTD

SIRENE

BD-TOPO

OpenStreetMap
Road network

OSM

FiLoSoFi

RP Mob

EGT

ENTD

IDFm GTFS
Public transport schedule

GTFS

SIRENE

OSM

GTFS

Île-de-France

BD-TOPO

FiLoSoFi

RP Mob

EGT

ENTD

SIRENE

OSM

GTFS

Île-de-France

BD-TOPO

Open
Data

Open
Software

Reproducible research

Verifiable results

Integrated testing

Example: Policy and scenario analysis

Demand synthesis

Mobility simulation

Home office

Shared offices

New mobility services

Emissions

Traffic

Time use

Equity

Cost-benefit analysis

FiLoSoFi

RP Mob

EGT

ENTD

SIRENE

OSM

GTFS

Île-de-France

BD-TOPO

Open
Data

Open
Software

Reproducible research

Verifiable results

Integrated testing

Current use cases

Nantes

Population synthesis
Noise modeling

Contact: Valentin Le Besond

Current use cases

Lille

Park & ride applications
Road pricing

Contact: Azise Diallo

Current use cases

Toulouse

Placement and use of shared offices

Contact: Vincent Loubière

Current use cases

Rennes

Micromobility simulation

Contact: Vincent Leblond

Paris / Île-de-France

Scenario development for sustainable urban transformation
New mobility services

Contact:
Mahdi Zargayouna (GRETTIA / Univ. Gustave Eiffel)
Nicolas Coulombel (LVMT / ENPC)

Current use cases

Paris / Île-de-France

Cycling simulation

Contact: Alexandre Chasse

Current use cases

IFP energies nouvelles

Current use cases

Paris / Île-de-France

Simulation of automated shuttles

Contact: Sebastian Hörl

Current use cases - Worldwide

Sao Paulo (ETH Zurich)

San Francisco Bay area (ETH Zurich)

Los Angeles five-county area (ETH Zurich)

Switzerland (ETH Zurich)

Montreal, Quebec City, Jakarta, ...

eqasim-org/eqasim-java

eqasim-org/ile-de-france

matsim-org/matsim-libs

Current use cases

eqasim-org/sao_paulo

eqasim-org/california

Balac, M., Hörl, S. (2021) Synthetic population for the state of California based on open-data: examples of San Francisco Bay area and San Diego County, presented at 100th Annual Meeting of the Transportation Research Board, Washington, D.C.

Sallard, A., Balac, M., Hörl, S. (2021) Synthetic travel demand for the Greater São Paulo Metropolitan Region, based on open data, Under Review

Some challenges ...

Easy-to-use user interfaces
Use of dynamic data
Road counts, GPS traces, ...
Automatic calibration

eqasim

An integrated pipeline from raw data to agent-based simulation:

Synthesis of travel demand
Agent-based simulation

eqasim - simulation using DMC

In cases when you have access to estimated MNL or NL models, these can now be integrated directly using the DMC extension

It can be used to override the scoring mechanism of MATSim

It is a default replanning mechanism in eqasim

Hörl, S., M. Balac and K.W. Axhausen (2018) A first look at bridging discrete choice modeling and agent-based microsimulation in MATSim, Procedia Computer Science, 130, 900-907.

Hörl, S., M. Balac and K.W. Axhausen (2019) Pairing discrete mode choice models and agent-based transport simulation with MATSim, paper presented at the 98th Annual Meeting of the Transportation Research Board, Washington D.C., January, 2019.

eqasim - simulation using DMC