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

Titel

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

Autor*in

Rico Kötschau

Otto von Guericke University Magdeburg

Kai Martins-Turner

Chair of Transport Systems Planning and Transport Telematics, Technische Universität Berlin

Jan Fabian Ehmke

Institut für Business Decisions and Analytics, Fakultät für Wirtschaftswissenschaften, Universität Wien

... show all

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.

Stichwort

reliable transportation servicetraffic simulationMATSimvehicle routing problemautonomous vehiclesstochastic travel timesavoid latenessreliability bufferstravel time buffers

Objekt-Typ

journal article

Sprache

Englisch [eng]

Persistent identifier

phaidra.univie.ac.at/o:1612745

DOI

10.1016/j.trpro.2021.01.091

Erschienen in

Titel

Transportation Research Procedia

Band