# Incentive-Based Electric Vehicle Charging for Managing Bottleneck Congestion

arXiv: https://arxiv.org/abs/2111.05600 · HTML: https://mlsanity.com/paper/2111.05600/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Nov 2021.

## Built on by (most cited first, 3 of 3)

- [Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm](https://mlsanity.com/paper/2304.12004/) (2023)
- [Urban traffic congestion control: a DeePC change](https://mlsanity.com/paper/2311.09851/) (2023)
- [Optimal service station design for traffic mitigation via genetic algorithm and neural network](https://mlsanity.com/paper/2211.10159/) (2022)

## Abstract (arXiv)

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.