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

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

doi:10.1109/ITSC.2018.8569541

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

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

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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 demandsupply 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	Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems
Number of pages	6
Publisher	IEEE
Publication date	2018
DOIs	https://doi.org/10.1109/ITSC.2018.8569541
Publication status	Published - 2018
Event	21st International IEEE Conference on Intelligent Transportation Systems - Maui, Maui, United States Duration: 4 Nov 2018 → 7 Nov 2018 Conference number: 21 https://ieeexplore.ieee.org/xpl/conhome/8543039/proceeding

Conference

Conference	21st International IEEE Conference on Intelligent Transportation Systems
Number	21
Location	Maui
Country/Territory	United States
City	Maui
Period	04/11/2018 → 07/11/2018
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8543039/proceeding

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Chen, S., de Lima, I. H. V., Needell, Z., Araldo, A., Akkinepally, A., Trancik, J., Ben-Akiva, M., Fournier, N., Deliali, A., Christofa, E., & Lima Azevedo, C. M. (2018). Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment. In Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems IEEE. https://doi.org/10.1109/ITSC.2018.8569541

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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 demandsupply 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{\textquoteright}s and vehicle energy performances",

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

year = "2018",

doi = "10.1109/ITSC.2018.8569541",

language = "English",

booktitle = "Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems",

publisher = "IEEE",

address = "United States",

note = "21st International IEEE Conference on Intelligent Transportation Systems, ITSC 2018 ; Conference date: 04-11-2018 Through 07-11-2018",

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Chen, S, de Lima, IHV, Needell, Z, Araldo, A, Akkinepally, A, Trancik, J, Ben-Akiva, M, Fournier, N, Deliali, A, Christofa, E & Lima Azevedo, CM 2018, Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment. in Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems. IEEE, 21st International IEEE Conference on Intelligent Transportation Systems, Maui, Hawaii, United States, 04/11/2018. https://doi.org/10.1109/ITSC.2018.8569541

Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment. / Chen, Siyu; de Lima, Isabel Hemerly Viegas; Needell, Zach et al.
Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems. IEEE, 2018.

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

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AU - Chen, Siyu

AU - de Lima, Isabel Hemerly Viegas

AU - Needell, Zach

AU - Araldo, Andrea

AU - Akkinepally, Arun

AU - Trancik, Jessica

AU - Ben-Akiva, Moshe

AU - Fournier, Nicholas

AU - Deliali, Aikaterini

AU - Christofa, Eleni

AU - Lima Azevedo, Carlos M.

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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 demandsupply 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

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T2 - 21st International IEEE Conference on Intelligent Transportation Systems

Y2 - 4 November 2018 through 7 November 2018

ER -

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

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