Combining Simulation and Optimisation to Design Reliable Transportation Services with Autonomous Fleets

Rico Kötschau; Kai Martins-Turner; Jan Fabian Ehmke; Kai Nagel

doi:10.1016/j.trpro.2021.01.091

Combining Simulation and Optimisation to Design Reliable Transportation Services with Autonomous Fleets

Rico Kötschau, Kai Martins-Turner, Jan Fabian Ehmke, Kai Nagel

Department of Business Decisions and Analytics

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

Abstract

We develop and investigate reliable services for autonomous freight and passenger transport in urban areas. We consider the individual requirements of travelers for reliable arrival times. To ensure these in an environment of congested urban traffic networks, we investigate how much buffer we need while avoiding excessive idle times. Using the traffic simulation MATSim, we derive time-dependent travel times, integrate them into offline buffer planning, and evaluate the resulting tours. We implement and compare the use of standard deviation and an adapted linear programming model to define buffers and to enable more reliable transportation services at affordable costs.

Original language	English
Title of host publication	23rd EURO Working Group on Transportation Meeting, EWGT 2020
Editors	Stelios Timotheou, Christos G. Panayiotou
Publisher	Elsevier
Pages	59-66
Number of pages	8
Volume	52
DOIs	https://doi.org/10.1016/j.trpro.2021.01.091
Publication status	Published - 2021

Publication series

Series	Transportation Research Procedia
ISSN	2352-1465

Austrian Fields of Science 2012

502017 Logistics
102035 Data science

Keywords

reliable transportation service
traffic simulation
MATSim
vehicle routing problem
autonomous vehicles
stochastic travel times
avoid lateness
reliability buffers
travel time buffers

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.trpro.2021.01.091Licence: CC BY-NC-ND 4.0

https://phaidra.univie.ac.at/o:1612745Licence: CC BY-NC-ND 4.0

Cite this

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title = "Combining Simulation and Optimisation to Design Reliable Transportation Services with Autonomous Fleets",

abstract = "We develop and investigate reliable services for autonomous freight and passenger transport in urban areas. We consider the individual requirements of travelers for reliable arrival times. To ensure these in an environment of congested urban traffic networks, we investigate how much buffer we need while avoiding excessive idle times. Using the traffic simulation MATSim, we derive time-dependent travel times, integrate them into offline buffer planning, and evaluate the resulting tours. We implement and compare the use of standard deviation and an adapted linear programming model to define buffers and to enable more reliable transportation services at affordable costs.",

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author = "Rico K{\"o}tschau and Kai Martins-Turner and Ehmke, {Jan Fabian} and Kai Nagel",

year = "2021",

doi = "10.1016/j.trpro.2021.01.091",

language = "English",

volume = "52",

series = "Transportation Research Procedia",

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Kötschau, R, Martins-Turner, K, Ehmke, JF & Nagel, K 2021, Combining Simulation and Optimisation to Design Reliable Transportation Services with Autonomous Fleets. in S Timotheou & CG Panayiotou (eds), 23rd EURO Working Group on Transportation Meeting, EWGT 2020. vol. 52, Elsevier, Transportation Research Procedia, pp. 59-66. https://doi.org/10.1016/j.trpro.2021.01.091

Combining Simulation and Optimisation to Design Reliable Transportation Services with Autonomous Fleets. / Kötschau, Rico; Martins-Turner, Kai; Ehmke, Jan Fabian et al.
23rd EURO Working Group on Transportation Meeting, EWGT 2020. ed. / Stelios Timotheou; Christos G. Panayiotou. Vol. 52 Elsevier, 2021. p. 59-66 (Transportation Research Procedia).

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

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AB - We develop and investigate reliable services for autonomous freight and passenger transport in urban areas. We consider the individual requirements of travelers for reliable arrival times. To ensure these in an environment of congested urban traffic networks, we investigate how much buffer we need while avoiding excessive idle times. Using the traffic simulation MATSim, we derive time-dependent travel times, integrate them into offline buffer planning, and evaluate the resulting tours. We implement and compare the use of standard deviation and an adapted linear programming model to define buffers and to enable more reliable transportation services at affordable costs.

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BT - 23rd EURO Working Group on Transportation Meeting, EWGT 2020

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Combining Simulation and Optimisation to Design Reliable Transportation Services with Autonomous Fleets

Abstract

Publication series

Austrian Fields of Science 2012

Keywords

UN SDGs

Access to Document

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