Abstract
With the move of electric vehicle (EV) initiatives in many countries, there is a growing demand for fast-charging stations for recharging EVs. In this paper, we consider the problem of siting these EV charging stations in a transportation network with demand uncertainty. The demand for service considered is the passing flows in the network, i.e., the drive-by customers. We started with formulating the problem as a deterministic flow capturing location-allocation problem and then extended it into a stochastic model. Our results show that the stochastic model more realistically capture the actual coverage of the demand. We also developed a backup flow capturing model for providing secondary or multiple facilities coverage to ensure stability in service coverage and reduce the 'range anxiety.' Test cases with different flow composition and cost parameters are examined.
Original language | English (US) |
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Title of host publication | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2811-2816 |
Number of pages | 6 |
ISBN (Print) | 9781479960781 |
DOIs | |
State | Published - Nov 14 2014 |
Event | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China Duration: Oct 8 2014 → Oct 11 2014 |
Other
Other | 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 |
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Country | China |
City | Qingdao |
Period | 10/8/14 → 10/11/14 |
ASJC Scopus subject areas
- Computer Science Applications
- Automotive Engineering
- Mechanical Engineering