Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment

Nicholas Fournier; Siyu Chen; Isabel Hemerly Viegas De Lima; Zach Needell; Aikaterini Deliali; Andrea Araldo; A. Arun Prakash; Carlos Lima Azevedo; Eleni Christofa; Jessica Trancik; Moshe Ben-Akiva

doi:10.1109/ITSC.2018.8569541

Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment

Nicholas Fournier
, Siyu Chen
, Isabel Hemerly Viegas De Lima
, Zach Needell
, Aikaterini Deliali
, Andrea Araldo
, A. Arun Prakash
, Carlos Lima Azevedo
, Eleni Christofa
, Jessica Trancik
, Moshe Ben-Akiva

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The development of a large scale agent-based simulation model for the Greater Boston Area is presented, closing the gap between state-of-the art integrated demand-supply modeling techniques (SimMobility) with advanced energy estimation models (TripEnergy) and shedding light on its practical application to large urban areas. This paper describes the technical details of its three key components (activity-based demand, multi-modal dynamic supply, and trajectory-based energy models), the used data, the model estimation, integration and calibration processes. The proposed model can simulate any day with and without congestion in order to capture changes in energy use across all dimensions of a mobility system, namely temporal, spatial, modal or functional. For an average 24h in the Greater Boston Area the simulated travel of 4.5-million people resulted in 15-million trips and a total vehicle energy consumption of 548 thousand equivalent gallons of gasoline. Our proposed platform allows for the comprehensive and consistent assessment of energy related policies, technologies and services affecting traveler behavior, the transportation system's and vehicle energy performances.

Original language	English
Title of host publication	2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2277-2282
Number of pages	6
ISBN (Electronic)	9781728103235
DOIs	https://doi.org/10.1109/ITSC.2018.8569541
Publication status	Published - 7 Dec 2018
Externally published	Yes
Event	21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States Duration: 4 Nov 2018 → 7 Nov 2018

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume	2018-November
ISSN (Print)	2153-0009
ISSN (Electronic)	2153-0017

Conference

Conference	21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
Country/Territory	United States
City	Maui
Period	4/11/18 → 7/11/18

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Mobility
activity-based
energy
microscopic
multi-modal
simulation

Access to Document

10.1109/ITSC.2018.8569541

Cite this

Fournier, N., Chen, S., Viegas De Lima, I. H., Needell, Z., Deliali, A., Araldo, A., Prakash, A. A., Azevedo, C. L., Christofa, E., Trancik, J., & Ben-Akiva, M. (2018). Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment. In 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018 (pp. 2277-2282). Article 8569541 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2018.8569541

Fournier, Nicholas ; Chen, Siyu ; Viegas De Lima, Isabel Hemerly et al. / Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment. 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 2277-2282 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

@inproceedings{8d32ec9cb9fa4de58e42658c430f8cc5,

title = "Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment",

abstract = "The development of a large scale agent-based simulation model for the Greater Boston Area is presented, closing the gap between state-of-the art integrated demand-supply modeling techniques (SimMobility) with advanced energy estimation models (TripEnergy) and shedding light on its practical application to large urban areas. This paper describes the technical details of its three key components (activity-based demand, multi-modal dynamic supply, and trajectory-based energy models), the used data, the model estimation, integration and calibration processes. The proposed model can simulate any day with and without congestion in order to capture changes in energy use across all dimensions of a mobility system, namely temporal, spatial, modal or functional. For an average 24h in the Greater Boston Area the simulated travel of 4.5-million people resulted in 15-million trips and a total vehicle energy consumption of 548 thousand equivalent gallons of gasoline. Our proposed platform allows for the comprehensive and consistent assessment of energy related policies, technologies and services affecting traveler behavior, the transportation system's and vehicle energy performances.",

keywords = "Mobility, activity-based, energy, microscopic, multi-modal, simulation",

author = "Nicholas Fournier and Siyu Chen and \{Viegas De Lima\}, \{Isabel Hemerly\} and Zach Needell and Aikaterini Deliali and Andrea Araldo and Prakash, \{A. Arun\} and Azevedo, \{Carlos Lima\} and Eleni Christofa and Jessica Trancik and Moshe Ben-Akiva",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 ; Conference date: 04-11-2018 Through 07-11-2018",

year = "2018",

month = dec,

day = "7",

doi = "10.1109/ITSC.2018.8569541",

language = "English",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2277--2282",

booktitle = "2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018",

}

Fournier, N, Chen, S, Viegas De Lima, IH, Needell, Z, Deliali, A, Araldo, A, Prakash, AA, Azevedo, CL, Christofa, E, Trancik, J & Ben-Akiva, M 2018, Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment. in 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018., 8569541, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, vol. 2018-November, Institute of Electrical and Electronics Engineers Inc., pp. 2277-2282, 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, United States, 4/11/18. https://doi.org/10.1109/ITSC.2018.8569541

Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment. / Fournier, Nicholas; Chen, Siyu; Viegas De Lima, Isabel Hemerly et al.
2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 2277-2282 8569541 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment

AU - Fournier, Nicholas

AU - Chen, Siyu

AU - Viegas De Lima, Isabel Hemerly

AU - Needell, Zach

AU - Deliali, Aikaterini

AU - Araldo, Andrea

AU - Prakash, A. Arun

AU - Azevedo, Carlos Lima

AU - Christofa, Eleni

AU - Trancik, Jessica

AU - Ben-Akiva, Moshe

PY - 2018/12/7

Y1 - 2018/12/7

N2 - The development of a large scale agent-based simulation model for the Greater Boston Area is presented, closing the gap between state-of-the art integrated demand-supply modeling techniques (SimMobility) with advanced energy estimation models (TripEnergy) and shedding light on its practical application to large urban areas. This paper describes the technical details of its three key components (activity-based demand, multi-modal dynamic supply, and trajectory-based energy models), the used data, the model estimation, integration and calibration processes. The proposed model can simulate any day with and without congestion in order to capture changes in energy use across all dimensions of a mobility system, namely temporal, spatial, modal or functional. For an average 24h in the Greater Boston Area the simulated travel of 4.5-million people resulted in 15-million trips and a total vehicle energy consumption of 548 thousand equivalent gallons of gasoline. Our proposed platform allows for the comprehensive and consistent assessment of energy related policies, technologies and services affecting traveler behavior, the transportation system's and vehicle energy performances.

AB - The development of a large scale agent-based simulation model for the Greater Boston Area is presented, closing the gap between state-of-the art integrated demand-supply modeling techniques (SimMobility) with advanced energy estimation models (TripEnergy) and shedding light on its practical application to large urban areas. This paper describes the technical details of its three key components (activity-based demand, multi-modal dynamic supply, and trajectory-based energy models), the used data, the model estimation, integration and calibration processes. The proposed model can simulate any day with and without congestion in order to capture changes in energy use across all dimensions of a mobility system, namely temporal, spatial, modal or functional. For an average 24h in the Greater Boston Area the simulated travel of 4.5-million people resulted in 15-million trips and a total vehicle energy consumption of 548 thousand equivalent gallons of gasoline. Our proposed platform allows for the comprehensive and consistent assessment of energy related policies, technologies and services affecting traveler behavior, the transportation system's and vehicle energy performances.

KW - Mobility

KW - activity-based

KW - energy

KW - microscopic

KW - multi-modal

KW - simulation

UR - https://www.scopus.com/pages/publications/85060491446

U2 - 10.1109/ITSC.2018.8569541

DO - 10.1109/ITSC.2018.8569541

M3 - Conference contribution

AN - SCOPUS:85060491446

T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

SP - 2277

EP - 2282

BT - 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018

Y2 - 4 November 2018 through 7 November 2018

ER -

Fournier N, Chen S, Viegas De Lima IH, Needell Z, Deliali A, Araldo A et al. Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment. In 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 2277-2282. 8569541. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC.2018.8569541

Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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