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Title: Preliminary Study of Agent-Based Simulation to Predict Charging Behavior of Electric Vehicles in New Delhi, India
Accession Number: 01592052
Record Type: Component
Abstract: Agent-based simulations have gained popularity in travel demand modeling because they exhibit greater power in explaining dependencies within activity chains and are based on a dynamic decision-making procedure. These features become even more critical while modeling electric vehicles because variations in charging behavior can significantly affect the spatio-temporal distribution of load on a power grid. Given India’s aggressive electric vehicle deployment targets (6 – 7 million hybrid and electric vehicles by 2020), there are great concerns about the country’s ability to meet future BEV charging demand. A first step towards modeling the spatial and temporal effects of increased EV penetration on the grid is to generate accurate trip profiles for the study region. As a pilot study, agent-based simulation is performed for the city of New Delhi. A detailed traffic network is extracted from Open Street Maps (OSM) and processed through the java application Osmosis. Activity chains for cars, two-wheelers and electric vehicles (assuming 15% market penetration by 2025) are generated from household travel survey data and Origin-Destination (O-D) data using Non-Parametric Resampling. Finally, the base network and activity demands are served as input for agent-based traffic simulation software MATSim to generate equilibrium routes. To the knowledge of the authors, this is the first attempt to produce an agent-based traffic simulation for the city of New Delhi and provides important insights into impacts of EV introduction in India.
Supplemental Notes: This paper was sponsored by TRB committee ABE90 Standing Committee on Transportation in the Developing Countries.
Monograph Title: Monograph Accession #: 01584066
Report/Paper Numbers: 16-2324
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Mohanty, SudattaSheppard, ColinGopal, Anand RPagination: 15p
Publication Date: 2016
Conference:
Transportation Research Board 95th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
Geographic Terms: Subject Areas: Energy; Highways; Vehicles and Equipment; I90: Vehicles
Source Data: Transportation Research Board Annual Meeting 2016 Paper #16-2324
Files: TRIS, TRB, ATRI
Created Date: Jan 12 2016 5:02PM
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