Simulating autonomous vehicles
Costs, surveys and simulation with MATSim
Sebastian Hörl
IEA Transport Meeting
Paris
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
- Aerial Mobility
Julius Bär / Farner
Mesoscopic Transport Simulation
Senozon VIA
https://pixabay.com/en/traffic-jam-stop-and-go-rush-hour-143391/
MATSim
Home
Work
Shop
Home
until 8am
9am to 6pm
6:15m to 6:30pm
from 6:45pm
walk
public
transport
walk
MATSim
Network simulation
Scoring of the plans
Selection and modification
Scenario
Autonomous vehicles - Project setup
- Cost calculator
- Model choice model
- Simulation (MATSim)
Self-driving vehicles
Access to Mobility
Effective Capacities
Costs
Individualization
Empty distance
Travels
Net effect?
Self-driving vehicles
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
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
Survey
- Stated preference survey
- 400 respondents
- 400 respondents
- Attitudes towards different AV services
- One regular short trip
- One regular long trip
- Mobility tool ownership
Becker, F. and K.W. Axhausen (2017) Predicting the use of automated vehicles. [First results from the pilot survey], presented at the 17 Swiss Transport Research Conference, May 2017, Ascona.
Survey
Survey
Integration with MATSim
Discrete mode choice model
Network simulation
Estimation
Cost Calculator
Case study 1: dispatching strategies
- Maximum demand case
- Freeflow conditions
Hörl, S., C. Ruch, F. Becker, E. Frazzoli, K.W. Axhausen (2018) Fleet control algorithms for automated mobility: A simulation assessment for Zurich, Submitted to Transportation Research: Part C.
Case study: dispatching strategies
Case study: dispatching strategies
Case study 1: dispatching strategies
Hörl, S., C. Ruch, F. Becker, E. Frazzoli, K.W. Axhausen (2018) Fleet control algorithms for automated mobility: A simulation assessment for Zurich, Submitted to Transportation Research: Part C.
Case study 1: dispatching strategies
Hörl, S., C. Ruch, F. Becker, E. Frazzoli, K.W. Axhausen (2018) Fleet control algorithms for automated mobility: A simulation assessment for Zurich, Submitted to Transportation Research: Part C.
Case study 2: Dynamic demand simulations
Work in progress ...
Spatial constraints
Operational constraints
Intermodality
https://commons.wikimedia.org/wiki/File:Zeichen_365-65_-_Ladestation_f%C3%BCr_Elektrofahrzeuge,_StVO_2014.svg
https://www.flickr.com/photos/viriyincy/4528290409
https://de.wikipedia.org/wiki/Datei:Zeichen_316_-_Parken_und_Reisen,_StVO_1992.svg
New projects: Externalities & mobility pricing
Joe Molloy, IVT, ETH Zurich
Thanks!
Questions?
Contact: sebastian.hoerl@ivt.baug.ethz.ch