Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment
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 applicat...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2020
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| Online Access: | https://hdl.handle.net/1721.1/126152 |
| _version_ | 1826189071510142976 |
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| author | Fournier, Nicholas Chen, Siyu Hemerly Viegas de Lima, Isabel Needell, Zachary Adam Deliali, Aikaterini Araldo, AndreaGiuseppe Akkinepally, Arun Azevedo, Carlos Lima Christofa, Eleni Trancik, Jessika Ben-Akiva, Moshe E |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Fournier, Nicholas Chen, Siyu Hemerly Viegas de Lima, Isabel Needell, Zachary Adam Deliali, Aikaterini Araldo, AndreaGiuseppe Akkinepally, Arun Azevedo, Carlos Lima Christofa, Eleni Trancik, Jessika Ben-Akiva, Moshe E |
| author_sort | Fournier, Nicholas |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T08:09:24Z |
| format | Article |
| id | mit-1721.1/126152 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T08:09:24Z |
| publishDate | 2020 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1261522022-09-23T11:16:31Z Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment Fournier, Nicholas Chen, Siyu Hemerly Viegas de Lima, Isabel Needell, Zachary Adam Deliali, Aikaterini Araldo, AndreaGiuseppe Akkinepally, Arun Azevedo, Carlos Lima Christofa, Eleni Trancik, Jessika Ben-Akiva, Moshe E Massachusetts Institute of Technology. Department of Civil and Environmental Engineering 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. 2020-07-13T16:08:35Z 2020-07-13T16:08:35Z 2018-12 2018-11 Article http://purl.org/eprint/type/ConferencePaper 9781728103211 9781728103235 https://hdl.handle.net/1721.1/126152 Fournier, Nicholas et al. "Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment." 21st International Conference on Intelligent Transportation Systems (ITSC), November 2018, Maui, HI, USA, Institute of Electrical and Electronics Engineers, December 2018 © 2018 IEEE http://dx.doi.org/10.1109/itsc.2018.8569541 21st International Conference on Intelligent Transportation Systems (ITSC) Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Prof. Ben-Akiva via Phoebe Ayers |
| spellingShingle | Fournier, Nicholas Chen, Siyu Hemerly Viegas de Lima, Isabel Needell, Zachary Adam Deliali, Aikaterini Araldo, AndreaGiuseppe Akkinepally, Arun Azevedo, Carlos Lima Christofa, Eleni Trancik, Jessika Ben-Akiva, Moshe E Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment |
| title | Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment |
| title_full | Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment |
| title_fullStr | Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment |
| title_full_unstemmed | Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment |
| title_short | Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment |
| title_sort | integrated simulation of activity based demand and multi modal dynamic supply for energy assessment |
| url | https://hdl.handle.net/1721.1/126152 |
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