AV Dispatching in MATSim

Tools and recent results

Sebastian Hörl

Bauhaus Luftfahrt

20 January 2020

Fleet control

  • Assigning vehicles to requests

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Assignment / Dispatching

Car by Adrien Coquet from the Noun Project

Hail by Bradley Avison from the Noun Project

Fleet control

Car by Adrien Coquet from the Noun Project

Hail by Bradley Avison from the Noun Project

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Rebalancing

  • Movement of empty vehicles
  • Anticipating demand patterns

Fleet control

Routing

Car by Adrien Coquet from the Noun Project

Hail by Bradley Avison from the Noun Project

  • Avoid congestion
  • Mitigate congestion

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Fleet control

Parking

Car by Adrien Coquet from the Noun Project

Hail by Bradley Avison from the Noun Project

  • Avoid empty distance
  • Restricted by infrastructure

     

Complementary Problems

Infrastructure placement

Infrastructure sizing

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Example algorithms

Load-balancing heuristic

Undersupply

  • When request pops up
    find closest vehicle

Oversupply

  • When vehicle gets available
    find closest request

able to serve remote demand

able to serve remote demand

able to serve peek demand

Hörl, S., C. Ruch, F. Becker, E. Frazzoli and K.W. Axhausen (2019) Fleet operational policies for automated mobility: a simulation assessment for Zurich, Transportation Research: Part C, 102, 20-32.

Example algorithms

Global Bipartite Matching

  • Find matching of vehicles and requests that minimizes total Euclidean (or network-based) empty distance
     
  • Nice benchmark because sole objective is to minimize empty distance

Hörl, S., C. Ruch, F. Becker, E. Frazzoli and K.W. Axhausen (2019) Fleet operational policies for automated mobility: a simulation assessment for Zurich, Transportation Research: Part C, 102, 20-32.

Example algorithms

Feed-forward fluidic rebalancing strategy

Travel time

Rebalancing flows

Arrival rate

Transition probability

Hörl, S., C. Ruch, F. Becker, E. Frazzoli and K.W. Axhausen (2019) Fleet operational policies for automated mobility: a simulation assessment for Zurich, Transportation Research: Part C, 102, 20-32.

Example algorithms

Feed-forward fluidic rebalancing strategy

Travel time

Rebalancing flows

Arrival rate

Transition probability

  • Informed algorithm from historical data
     
  • Minimization of rebalancing time
     
  • Minimization of waiting time?

Hörl, S., C. Ruch, F. Becker, E. Frazzoli and K.W. Axhausen (2019) Fleet operational policies for automated mobility: a simulation assessment for Zurich, Transportation Research: Part C, 102, 20-32.

Example algorithms

Adaptive Uniform Rebalancing Policy

Vehicles per zone

Current requests

  • Minimization of rebalancing time
     
  • Working on current information
     
  • Uniform distribution of vehicles

Hörl, S., C. Ruch, F. Becker, E. Frazzoli and K.W. Axhausen (2019) Fleet operational policies for automated mobility: a simulation assessment for Zurich, Transportation Research: Part C, 102, 20-32.

Hörl, S., C. Ruch, F. Becker, E. Frazzoli and K.W. Axhausen (2019) Fleet operational policies for automated mobility: a simulation assessment for Zurich, Transportation Research: Part C, 102, 20-32.

Case study: Fleet control

Case study: Routing

Lu, Chengqi (2019) Congestion-Aware Operation of Coordinated Autonomous Mobility-on-Demand Systems, Master thesis, Institute for Dynamic Systems and Control (IDSC), ETH Zurich, Zürich, Switzerland.

Case study: Parking

Ruch, C., S. Hörl, R. Ehrler, M. Balac, E. Frazzoli (2020) How Many Parking Spaces Does a Mobility-on-Demand System Require?, Under review.

Case study: Parking

Ruch, C., S. Hörl, R. Ehrler, M. Balac, E. Frazzoli (2020) How Many Parking Spaces Does a Mobility-on-Demand System Require?, Under review.

Case study: Parking

Case study: Parking

Case study: Serving taxi demand

San Francisco

Chicago

Zurich

Further topics

  • Dynamic demand

    How do agents with choice-making behaviour react to strategies?
     
  • Pick-up and drop-off dynamics

    How does limited pickup/dropoff space limit performance and network efficiency?

Thanks!

Questions?

Contact: sebastian.hoerl@ivt.baug.ethz.ch

Dispatching in MATSim

By Sebastian Hörl

Dispatching in MATSim

Bauhaus Luftfahrt, 20 Jan 2020

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