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Just do it! Combining agent-based travel demand models with queue based-traffic flow models

Heinrichs, Matthias and Erdmann, Jakob and Behrisch, Michael (2018) Just do it! Combining agent-based travel demand models with queue based-traffic flow models. In: Procedia Computer Science, 2018 (130), pp. 858-864. Science Direct. The 9th International Conference on Ambient Systems, Networks and Technologies, ANT2018, 2018-05-07 - 2018-05-10, Porto, Portugal. doi: 10.1016/j.procs.2018.04.081. ISSN 1877-0509.

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Official URL: https://www.sciencedirect.com/science/article/pii/S1877050918304435


Proper travel demand models aim to create an equilibrium between expected travel times in the planning phase and simulated travel times after mapping the road traffic on the road network. While agent-based travel demand models (ABM) focus on the trip generation mainly based on pre-calculated travel times, traffic flow models simulate these trips and compute travel times taking into account speed restrictions and road capacities. This leads to deviations between the simulated travel times and the initially expected ones especially during rush hour so that both models are not in equilibrium state. Due to the complexity and limited computational resources, combinations of these two models are often simplified in either one or both parts. In this work we present an iteratively combined simulation model with feedback of travel times. We couple an ABM with a queue-based traffic flow model which simulates the set of trips for each agent. The ABM used adjusts its activity generation, destination choice and mode choice according to the re-calculated travel times resulting in more realistic day plans. The traffic flow model takes the sequential character of the trips into account and propagates the delay to the subsequent trips of each modelled agent, resulting in feasible trips. We show that equilibrium of travel time between these two models can be achieved with a low number of iterations. Our approach is sensitive to new travel times in destination and mode choice and results in trips which are consistent for a whole day for each modelled agent.

Item URL in elib:https://elib.dlr.de/119795/
Document Type:Conference or Workshop Item (Speech)
Title:Just do it! Combining agent-based travel demand models with queue based-traffic flow models
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Heinrichs, MatthiasUNSPECIFIEDhttps://orcid.org/0000-0002-0175-2787UNSPECIFIED
Erdmann, JakobUNSPECIFIEDhttps://orcid.org/0000-0002-4195-4535UNSPECIFIED
Behrisch, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-0032-7930UNSPECIFIED
Date:25 April 2018
Journal or Publication Title:Procedia Computer Science
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 858-864
EditorsEmailEditor's ORCID iDORCID Put Code
Shakshuki, ElhadiAcadia University, CanadaUNSPECIFIEDUNSPECIFIED
Yasar, AnsarHasselt University, BelgiumUNSPECIFIEDUNSPECIFIED
Publisher:Science Direct
Series Name:Procedia Computer Science
Keywords:agent-based modelling; traffic flow; travel demand; dynamic traffic assignment
Event Title:The 9th International Conference on Ambient Systems, Networks and Technologies, ANT2018
Event Location:Porto, Portugal
Event Type:international Conference
Event Start Date:7 May 2018
Event End Date:10 May 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Verkehrsentwicklung und Umwelt II (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research > Mobility and Urban Development
Institute of Transportation Systems > Data Management and Knowledge Discovery
Deposited By: Heinrichs, Matthias
Deposited On:02 May 2018 09:55
Last Modified:24 Apr 2024 20:24

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