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SimMobility: a multiscale integrated agent-based simulation platform

SimMobility: a multiscale integrated agent-based simulation platform
SimMobility: a multiscale integrated agent-based simulation platform
Developments in integrated agent-based platform has shown progress, however, most of efforts are based on integrating activity-based demand models with dynamic traffic assignment model. Integration beyond this level is limited and mostly based on loosely coupled mechanism (i.e. manual exchange of data). SimMoblity is a simulation platform that integrates various mobility-sensitive behavioral models within a multi-scale simulation platform that considers land-use, transportation and communication interactions. It particularly focuses on impacts on transportation networks, intelligent transportation services and vehicular emissions, thereby enabling the simulation of a portfolio of technology, policy and investment options under alternative future scenarios. In short, SimMobility encompasses the modeling of millions of agents, from pedestrians to drivers, from phones, traffic lights to GPS probes, from cars to buses and trains, from second-by-second to year-by-year simulations. Simmobility is designed to support the activity-based modeling paradigm. All choices are ultimately tied to the agent?s goal of performing activities on a time scale that can vary from seconds to years. Agents can be grouped in broad ways, from households to firms, and can have varying roles including operators, bus drivers or real-estate agents. Thus, the range of possible decisions is also broad, from travel (e.g. Mode or route choice, driving behaviour) to land-use (e.g. household or firm location choice). This paper describes the SimMobility framework, its key features such as event-based implementation, parallel and distributed architecture and flow of data across three integrated levels. Additionally, application of the whole platform in Singapore context with some details on application of autonomous mobility on demand study is also presented.
Adnan, M.
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Pereira, F.C.
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Lima Azevedo, C.M.
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Basak, K.
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Lovric, M.
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Raveau, S.
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Zhu, Y.
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Ferreira, J.
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Zegras, C.
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Ben-Akiva, M.
fdd6a254-b101-4d39-a941-799298b72226
Adnan, M.
a4581d77-1971-47d3-a7b9-63859c2a288c
Pereira, F.C.
6ddfc2f9-f088-4cb7-bcda-0387a1890f28
Lima Azevedo, C.M.
1180bfe3-fbaa-41bb-8ddb-5e5acfd5404b
Basak, K.
9aa6b510-d81b-4390-890f-3e7bfcfce5f6
Lovric, M.
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Raveau, S.
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Zhu, Y.
825b29a7-35e8-4f51-a31c-87c71f0a06bb
Ferreira, J.
639dcbe2-ba6e-4885-8328-6b30fb3cbe4a
Zegras, C.
6f33c56c-ceb4-4081-9729-dbf4daf5e659
Ben-Akiva, M.
fdd6a254-b101-4d39-a941-799298b72226

Adnan, M., Pereira, F.C., Lima Azevedo, C.M., Basak, K., Lovric, M., Raveau, S., Zhu, Y., Ferreira, J., Zegras, C. and Ben-Akiva, M. (2016) SimMobility: a multiscale integrated agent-based simulation platform. Transportation Research Board 95th Annual Meeting, United States. 10 - 14 Jan 2016.

Record type: Conference or Workshop Item (Paper)

Abstract

Developments in integrated agent-based platform has shown progress, however, most of efforts are based on integrating activity-based demand models with dynamic traffic assignment model. Integration beyond this level is limited and mostly based on loosely coupled mechanism (i.e. manual exchange of data). SimMoblity is a simulation platform that integrates various mobility-sensitive behavioral models within a multi-scale simulation platform that considers land-use, transportation and communication interactions. It particularly focuses on impacts on transportation networks, intelligent transportation services and vehicular emissions, thereby enabling the simulation of a portfolio of technology, policy and investment options under alternative future scenarios. In short, SimMobility encompasses the modeling of millions of agents, from pedestrians to drivers, from phones, traffic lights to GPS probes, from cars to buses and trains, from second-by-second to year-by-year simulations. Simmobility is designed to support the activity-based modeling paradigm. All choices are ultimately tied to the agent?s goal of performing activities on a time scale that can vary from seconds to years. Agents can be grouped in broad ways, from households to firms, and can have varying roles including operators, bus drivers or real-estate agents. Thus, the range of possible decisions is also broad, from travel (e.g. Mode or route choice, driving behaviour) to land-use (e.g. household or firm location choice). This paper describes the SimMobility framework, its key features such as event-based implementation, parallel and distributed architecture and flow of data across three integrated levels. Additionally, application of the whole platform in Singapore context with some details on application of autonomous mobility on demand study is also presented.

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e-pub ahead of print date: January 2016
Venue - Dates: Transportation Research Board 95th Annual Meeting, United States, 2016-01-10 - 2016-01-14
Organisations: Transportation Group

Identifiers

Local EPrints ID: 390938
URI: https://eprints.soton.ac.uk/id/eprint/390938
PURE UUID: f0ec8981-c0d3-4849-a868-7ae32af4b6fd
ORCID for M. Lovric: ORCID iD orcid.org/0000-0002-8441-7625

Catalogue record

Date deposited: 11 Nov 2016 16:12
Last modified: 06 Jun 2018 12:14

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Contributors

Author: M. Adnan
Author: F.C. Pereira
Author: C.M. Lima Azevedo
Author: K. Basak
Author: M. Lovric ORCID iD
Author: S. Raveau
Author: Y. Zhu
Author: J. Ferreira
Author: C. Zegras
Author: M. Ben-Akiva

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