Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7052
Main Title: Large-scale microscopic simulation of taxi services. Berlin and Barcelona case studies
Author(s): Maciejewski, Michał
Salanova, Josep Maria
Bischoff, Joschka
Estrada, Miquel
Type: Article
Language Code: en
Abstract: The paper presents research on large-scale microscopic simulation of taxi services in Berlin and Barcelona based on floating car data collected by local taxi fleets. Firstly, Berlin’s and Barcelona’s taxi markets are shortly described and the demand and supply data obtained from FCD analysed. Secondly, the online taxi dispatching problem formulation for this specific case is given, followed by the definition of two real-time rule-based heuristics used to dispatch taxis dynamically within the simulation. Finally, the simulation setup in MATSim is described, and the results obtained with both heuristics are analysed and compared in terms of dispatching performance, proving the effectiveness of the second strategy at different demand and supply scales. This paper is an extended version of Maciejewski and Bischoff 2015, where only the Berlin case study was presented.
URI: https://depositonce.tu-berlin.de//handle/11303/7891
http://dx.doi.org/10.14279/depositonce-7052
Issue Date: 10-Mar-2016
Date Available: 31-May-2018
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): online taxi dispatching
dynamic vehicle routing
floating car data
Berlin
Barcelona
MATSim
microscopic simulation
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Journal of Ambient Intelligence and Humanized Computing
Publisher: Springer
Publisher Place: Berlin ; Heidelberg
Volume: 7
Issue: 3
Publisher DOI: 10.1007/s12652-016-0366-3
Page Start: 385
Page End: 393
EISSN: 1868-5145
ISSN: 1868-5137
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

Files in This Item:
File Description SizeFormat 
10.1007_s12652-016-0366-3.pdf1.5 MBAdobe PDFThumbnail
View/Open


This item is licensed under a Creative Commons License Creative Commons