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})

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

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 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