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research article

Incentive-based electric vehicle charging for managing bottleneck congestion

Cenedese, Carlo
•
Stokkink, Patrick  
•
Geroliminis, Nikolas  
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November 1, 2022
European Journal Of Control

We propose an incentive-based traffic demand management policy to alleviate traffic congestion on a road stretch that creates a bottleneck for the commuters. The incentive targets electric vehicles owners by proposing a discount on the energy price they use to charge their vehicles if they are flexible in their departure time. We show that, with a sufficient monetary budget, it is possible to completely eliminate the traffic congestion and we compute the optimal discount. We analyse also the case of limited budget, when the congestion cannot be completely eliminated. We compute analytically the policy minimising the congestion and estimate the level of inefficiency for different budgets. We corroborate our theoretical findings with numerical simulations that allow us to highlight the power of the proposed method in providing practical advice for the design of policies.(c) 2022 The Author(s). Published by Elsevier Ltd on behalf of European Control Association. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

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Type
research article
DOI
10.1016/j.ejcon.2022.100697
Web of Science ID

WOS:000901439100015

Author(s)
Cenedese, Carlo
Stokkink, Patrick  
Geroliminis, Nikolas  
Lygeros, John
Date Issued

2022-11-01

Publisher

ELSEVIER

Published in
European Journal Of Control
Volume

68

Subjects

Automation & Control Systems

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Automation & Control Systems

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incentive-based traffic demand 

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management

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electric vehicles

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bottleneck model

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dynamic energy price

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model

•

impact

•

travel

•

range

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LUTS  
Available on Infoscience
January 30, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/194365
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