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

A_i = \sum_j o_j \cdot f(c_{ij})
Ai=jojf(cij)A_i = \sum_j o_j \cdot f(c_{ij})

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
       
  • 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

Simulating autonomous vehicles: Costs, surveys and simulation with MATSim

By Sebastian Hörl

Simulating autonomous vehicles: Costs, surveys and simulation with MATSim

IEA Transport Workshop, 14 June 2018

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