Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment
Name
trancik_integrated.pdf
Size
3.16 MB
Format
Adobe PDF
Checksum (MD5)
2211ea95bcdccd8ef47a5c322e8388ee
Author(s)
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
Date Issued
December 2018
Journal
21st International Conference on Intelligent Transportation Systems (ITSC)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
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
Version
Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/itsc.2018.8569541
